mirror of
https://github.com/triqs/dft_tools
synced 2024-12-24 13:23:37 +01:00
549 lines
24 KiB
Python
549 lines
24 KiB
Python
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################################################################################
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#
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# TRIQS: a Toolbox for Research in Interacting Quantum Systems
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#
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# Copyright (C) 2011 by M. Ferrero, O. Parcollet
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#
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# DFT tools: Copyright (C) 2011 by M. Aichhorn, L. Pourovskii, V. Vildosola
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#
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# PLOVasp: Copyright (C) 2015 by O. E. Peil
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#
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# TRIQS is free software: you can redistribute it and/or modify it under the
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# terms of the GNU General Public License as published by the Free Software
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# Foundation, either version 3 of the License, or (at your option) any later
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# version.
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#
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# TRIQS is distributed in the hope that it will be useful, but WITHOUT ANY
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# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
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# details.
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#
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# You should have received a copy of the GNU General Public License along with
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# TRIQS. If not, see <http://www.gnu.org/licenses/>.
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#
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################################################################################
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from types import *
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import numpy
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from pytriqs.archive import *
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from .converter_tools import *
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import os.path
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try:
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import simplejson as json
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except ImportError:
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import json
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class VaspConverter(ConverterTools):
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"""
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Conversion from VASP output to an hdf5 file that can be used as input for the SumkDFT class.
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"""
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def __init__(self, filename, hdf_filename = None,
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dft_subgrp = 'dft_input', symmcorr_subgrp = 'dft_symmcorr_input',
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parproj_subgrp='dft_parproj_input', symmpar_subgrp='dft_symmpar_input',
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bands_subgrp = 'dft_bands_input', misc_subgrp = 'dft_misc_input',
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transp_subgrp = 'dft_transp_input', repacking = False,
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proj_or_hk='proj'):
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"""
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Init of the class. Variable filename gives the root of all filenames, e.g. case.ctqmcout, case.h5, and so on.
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Parameters
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----------
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filename : string
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Base name of DFT files.
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hdf_filename : string, optional
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Name of hdf5 archive to be created.
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dft_subgrp : string, optional
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Name of subgroup storing necessary DFT data.
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symmcorr_subgrp : string, optional
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Name of subgroup storing correlated-shell symmetry data.
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parproj_subgrp : string, optional
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Name of subgroup storing partial projector data.
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symmpar_subgrp : string, optional
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Name of subgroup storing partial-projector symmetry data.
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bands_subgrp : string, optional
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Name of subgroup storing band data.
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misc_subgrp : string, optional
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Name of subgroup storing miscellaneous DFT data.
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transp_subgrp : string, optional
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Name of subgroup storing transport data.
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repacking : boolean, optional
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Does the hdf5 archive need to be repacked to save space?
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proj_or_hk : string, optional
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Select scheme to convert between KS bands and localized orbitals.
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"""
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assert type(filename)==StringType, "Please provide the DFT files' base name as a string."
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if hdf_filename is None: hdf_filename = filename+'.h5'
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self.hdf_file = hdf_filename
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self.basename = filename
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self.ctrl_file = filename+'.ctrl'
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# self.pmat_file = filename+'.pmat'
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self.dft_subgrp = dft_subgrp
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self.symmcorr_subgrp = symmcorr_subgrp
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self.parproj_subgrp = parproj_subgrp
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self.symmpar_subgrp = symmpar_subgrp
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self.bands_subgrp = bands_subgrp
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self.misc_subgrp = misc_subgrp
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self.transp_subgrp = transp_subgrp
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assert (proj_or_hk == 'proj') or (proj_or_hk == 'hk'), "proj_or_hk has to be 'proj' of 'hk'"
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self.proj_or_hk = proj_or_hk
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# Checks if h5 file is there and repacks it if wanted:
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if (os.path.exists(self.hdf_file) and repacking):
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ConverterTools.repack(self)
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# this is to test pull request
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def read_data(self, fh):
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"""
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Generator for reading plain data.
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Parameters
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----------
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fh : file object
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file object which is read in.
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"""
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for line in fh:
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line_ = line.strip()
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if not line or (line_ == '' or line_[0] == '#'):
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continue
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for val in map(float, line.split()):
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yield val
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def read_header_and_data(self, filename):
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"""
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Opens a file and returns a JSON-header and the generator for the plain data.
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Parameters
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----------
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filename : string
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file name of the file to read.
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"""
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fh = open(filename, 'rt')
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header = ""
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for line in fh:
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if not "#END" in line:
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header += line
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else:
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break
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f_gen = self.read_data(fh)
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return header, f_gen
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def convert_dft_input(self):
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"""
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Reads the input files, and stores the data in the HDFfile
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"""
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energy_unit = 1.0 # VASP interface always uses eV
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k_dep_projection = 1
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# Symmetries are switched off for the moment
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# TODO: implement symmetries
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symm_op = 0 # Use symmetry groups for the k-sum
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# Read and write only on the master node
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if not (mpi.is_master_node()): return
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mpi.report("Reading input from %s..."%self.ctrl_file)
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# R is a generator : each R.Next() will return the next number in the file
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jheader, rf = self.read_header_and_data(self.ctrl_file)
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print(jheader)
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ctrl_head = json.loads(jheader)
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ng = ctrl_head['ngroups']
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n_k = ctrl_head['nk']
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# Note the difference in name conventions!
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SP = ctrl_head['ns'] - 1
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SO = ctrl_head['nc_flag']
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kpts = numpy.zeros((n_k, 3))
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kpts_cart = numpy.zeros((n_k, 3))
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bz_weights = numpy.zeros(n_k)
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try:
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for ik in range(n_k):
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kx, ky, kz = next(rf), next(rf), next(rf)
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kpts[ik, :] = kx, ky, kz
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bz_weights[ik] = next(rf)
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for ik in range(n_k):
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kx, ky, kz = next(rf), next(rf), next(rf)
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kpts_cart[ik, :] = kx, ky, kz
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except StopIteration:
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raise "VaspConverter: error reading %s"%self.ctrl_file
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# if nc_flag:
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## TODO: check this
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# n_spin_blocs = 1
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# else:
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# n_spin_blocs = ns
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n_spin_blocs = SP + 1 - SO
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# Read PLO groups
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# First, we read everything into a temporary data structure
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# TODO: think about multiple shell groups and how to map them on h5 structures
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assert ng == 1, "Only one group is allowed at the moment"
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try:
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for ig in range(ng):
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gr_file = self.basename + '.pg%i'%(ig + 1)
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jheader, rf = self.read_header_and_data(gr_file)
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gr_head = json.loads(jheader)
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nb_max = gr_head['nb_max']
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p_shells = gr_head['shells']
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density_required = gr_head['nelect']
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charge_below = 0.0 # This is not defined in VASP interface
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# Note that in the DftTools convention each site gives a separate correlated shell!
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n_shells = sum([len(sh['ion_list']) for sh in p_shells])
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n_corr_shells = sum([len(sh['ion_list']) for sh in p_shells])
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shells = []
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corr_shells = []
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shion_to_shell = [[] for ish in range(len(p_shells))]
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cr_shion_to_shell = [[] for ish in range(len(p_shells))]
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shorbs_to_globalorbs = [[] for ish in range(len(p_shells))]
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last_dimension = 0
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crshorbs_to_globalorbs = []
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icsh = 0
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for ish, sh in enumerate(p_shells):
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ion_list = sh['ion_list']
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for i, ion in enumerate(ion_list):
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pars = {}
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pars['atom'] = ion
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# We set all sites inequivalent
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pars['sort'] = sh['ion_sort'][i]
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pars['l'] = sh['lorb']
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#pars['corr'] = sh['corr']
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pars['dim'] = sh['ndim']
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#pars['ion_list'] = sh['ion_list']
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pars['SO'] = SO
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# TODO: check what 'irep' entry does (it seems to be very specific to dmftproj)
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pars['irep'] = 0
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shells.append(pars)
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shion_to_shell[ish].append(i)
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shorbs_to_globalorbs[ish].append([last_dimension,
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last_dimension+sh['ndim']])
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last_dimension = last_dimension+sh['ndim']
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if sh['corr']:
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corr_shells.append(pars)
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# TODO: generalize this to the case of multiple shell groups
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n_corr_shells = len(corr_shells)
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n_orbs = sum([sh['dim'] for sh in shells])
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# FIXME: atomic sorts in Wien2K are not the same as in VASP.
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# A symmetry analysis from OUTCAR or symmetry file should be used
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# to define equivalence classes of sites.
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n_inequiv_shells, corr_to_inequiv, inequiv_to_corr = ConverterTools.det_shell_equivalence(self, corr_shells)
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if mpi.is_master_node():
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print(" No. of inequivalent shells:", n_inequiv_shells)
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# NB!: these rotation matrices are specific to Wien2K! Set to identity in VASP
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use_rotations = 1
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rot_mat = [numpy.identity(corr_shells[icrsh]['dim'],numpy.complex_) for icrsh in range(n_corr_shells)]
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rot_mat_time_inv = [0 for i in range(n_corr_shells)]
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# TODO: implement transformation matrices
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n_reps = [1 for i in range(n_inequiv_shells)]
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dim_reps = [0 for i in range(n_inequiv_shells)]
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T = []
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for ish in range(n_inequiv_shells):
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n_reps[ish] = 1 # Always 1 in VASP
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ineq_first = inequiv_to_corr[ish]
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dim_reps[ish] = [corr_shells[ineq_first]['dim']] # Just the dimension of the shell
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# The transformation matrix:
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# is of dimension 2l+1 without SO, and 2*(2l+1) with SO!
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ll = 2 * corr_shells[inequiv_to_corr[ish]]['l']+1
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lmax = ll * (corr_shells[inequiv_to_corr[ish]]['SO'] + 1)
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# TODO: at the moment put T-matrices to identities
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T.append(numpy.identity(lmax, numpy.complex_))
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# if nc_flag:
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## TODO: implement the noncollinear part
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# raise NotImplementedError("Noncollinear calculations are not implemented")
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# else:
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hopping = numpy.zeros([n_k, n_spin_blocs, nb_max, nb_max], numpy.complex_)
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f_weights = numpy.zeros([n_k, n_spin_blocs, nb_max], numpy.complex_)
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band_window = [numpy.zeros((n_k, 2), dtype=int) for isp in range(n_spin_blocs)]
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n_orbitals = numpy.zeros([n_k, n_spin_blocs], numpy.int)
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for isp in range(n_spin_blocs):
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for ik in range(n_k):
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ib1, ib2 = int(next(rf)), int(next(rf))
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band_window[isp][ik, :2] = ib1, ib2
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nb = ib2 - ib1 + 1
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n_orbitals[ik, isp] = nb
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for ib in range(nb):
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hopping[ik, isp, ib, ib] = next(rf)
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f_weights[ik, isp, ib] = next(rf)
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if self.proj_or_hk == 'hk':
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hopping = numpy.zeros([n_k, n_spin_blocs, n_orbs, n_orbs], numpy.complex_)
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# skip header lines
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hk_file = self.basename + '.hk%i'%(ig + 1)
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f_hk = open(hk_file, 'rt')
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# skip the header (1 line for n_kpoints, n_electrons, n_shells)
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# and one line per shell
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count = 0
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while count < 3 + n_shells:
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f_hk.readline()
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count += 1
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rf_hk = self.read_data(f_hk)
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for isp in range(n_spin_blocs):
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for ik in range(n_k):
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n_orbitals[ik, isp] = n_orbs
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for ib in range(n_orbs):
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for jb in range(n_orbs):
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hopping[ik, isp, ib, jb] = next(rf_hk)
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for ib in range(n_orbs):
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for jb in range(n_orbs):
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hopping[ik, isp, ib, jb] += 1j*next(rf_hk)
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rf_hk.close()
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# Projectors
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# print n_orbitals
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# print [crsh['dim'] for crsh in corr_shells]
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proj_mat_csc = numpy.zeros([n_k, n_spin_blocs, sum([sh['dim'] for sh in shells]), numpy.max(n_orbitals)], numpy.complex_)
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# TODO: implement reading from more than one projector group
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# In 'dmftproj' each ion represents a separate correlated shell.
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# In my interface a 'projected shell' includes sets of ions.
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# How to reconcile this? Two options:
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#
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# 1. Redefine 'projected shell' in my interface to make it correspond to one site only.
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# In this case the list of ions must be defined at the level of the projector group.
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#
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# 2. Split my 'projected shell' to several 'correlated shells' here in the converter.
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#
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# At the moment I choose i.2 for its simplicity. But one should consider possible
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# use cases and decide which solution is to be made permanent.
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#
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for ish, sh in enumerate(p_shells):
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for isp in range(n_spin_blocs):
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for ik in range(n_k):
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for ion in range(len(sh['ion_list'])):
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for ilm in range(shorbs_to_globalorbs[ish][ion][0],shorbs_to_globalorbs[ish][ion][1]):
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for ib in range(n_orbitals[ik, isp]):
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# This is to avoid confusion with the order of arguments
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pr = next(rf)
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pi = next(rf)
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proj_mat_csc[ik, isp, ilm, ib] = complex(pr, pi)
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# now save only projectors with flag 'corr' to proj_mat
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proj_mat = numpy.zeros([n_k, n_spin_blocs, n_corr_shells, max([crsh['dim'] for crsh in corr_shells]), numpy.max(n_orbitals)], numpy.complex_)
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if self.proj_or_hk == 'proj':
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for ish, sh in enumerate(p_shells):
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if sh['corr']:
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for isp in range(n_spin_blocs):
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for ik in range(n_k):
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for ion in range(len(sh['ion_list'])):
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icsh = shion_to_shell[ish][ion]
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for iclm,ilm in enumerate(range(shorbs_to_globalorbs[ish][ion][0],shorbs_to_globalorbs[ish][ion][1])):
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for ib in range(n_orbitals[ik, isp]):
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proj_mat[ik,isp,icsh,iclm,ib] = proj_mat_csc[ik,isp,ilm,ib]
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elif self.proj_or_hk == 'hk':
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for ish, sh in enumerate(p_shells):
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if sh['corr']:
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for ion in range(len(sh['ion_list'])):
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icsh = shion_to_shell[ish][ion]
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for isp in range(n_spin_blocs):
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for ik in range(n_k):
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for iclm,ilm in enumerate(range(shorbs_to_globalorbs[ish][ion][0],shorbs_to_globalorbs[ish][ion][1])):
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proj_mat[ik,isp,icsh,iclm,ilm] = 1.0
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#corr_shell.pop('ion_list')
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things_to_set = ['n_shells','shells','n_corr_shells','corr_shells','n_spin_blocs','n_orbitals','n_k','SO','SP','energy_unit']
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for it in things_to_set:
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# print "%s:"%(it), locals()[it]
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setattr(self,it,locals()[it])
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except StopIteration:
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raise "VaspConverter: error reading %s"%self.gr_file
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rf.close()
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proj_or_hk = self.proj_or_hk
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# Save it to the HDF:
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with HDFArchive(self.hdf_file,'a') as ar:
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if not (self.dft_subgrp in ar): ar.create_group(self.dft_subgrp)
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# The subgroup containing the data. If it does not exist, it is created. If it exists, the data is overwritten!
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things_to_save = ['energy_unit','n_k','k_dep_projection','SP','SO','charge_below','density_required',
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'symm_op','n_shells','shells','n_corr_shells','corr_shells','use_rotations','rot_mat',
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'rot_mat_time_inv','n_reps','dim_reps','T','n_orbitals','proj_mat','bz_weights','hopping',
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'n_inequiv_shells', 'corr_to_inequiv', 'inequiv_to_corr','proj_or_hk','kpts','kpts_cart']
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if self.proj_or_hk == 'hk' or True:
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things_to_save.append('proj_mat_csc')
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for it in things_to_save: ar[self.dft_subgrp][it] = locals()[it]
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# Store Fermi weights to 'dft_misc_input'
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if not (self.misc_subgrp in ar): ar.create_group(self.misc_subgrp)
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ar[self.misc_subgrp]['dft_fermi_weights'] = f_weights
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ar[self.misc_subgrp]['band_window'] = band_window
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# Symmetries are used, so now convert symmetry information for *correlated* orbitals:
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self.convert_symmetry_input(ctrl_head, orbits=self.corr_shells, symm_subgrp=self.symmcorr_subgrp)
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# TODO: Implement misc_input
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# self.convert_misc_input(bandwin_file=self.bandwin_file,struct_file=self.struct_file,outputs_file=self.outputs_file,
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# misc_subgrp=self.misc_subgrp,SO=self.SO,SP=self.SP,n_k=self.n_k)
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def convert_misc_input(self, bandwin_file, struct_file, outputs_file, misc_subgrp, SO, SP, n_k):
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"""
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Reads input for the band window from bandwin_file, which is case.oubwin,
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structure from struct_file, which is case.struct,
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symmetries from outputs_file, which is case.outputs.
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Parameters
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----------
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bandwin_file : string
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filename of .oubwin/up/dn file.
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struct_file : string
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filename of .struct file.
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outputs_file : string
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filename of .outputs file.
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misc_subgrp : string
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name of the subgroup in which to save
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SO : boolean
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spin-orbit switch
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SP : int
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spin
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n_k : int
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number of k-points
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"""
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if not (mpi.is_master_node()): return
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things_to_save = []
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# Read relevant data from .oubwin/up/dn files
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#############################################
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# band_window: Contains the index of the lowest and highest band within the
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# projected subspace (used by dmftproj) for each k-point.
|
|
|
|
if (SP == 0 or SO == 1):
|
|
files = [self.bandwin_file]
|
|
elif SP == 1:
|
|
files = [self.bandwin_file+'up', self.bandwin_file+'dn']
|
|
else: # SO and SP can't both be 1
|
|
assert 0, "convert_transport_input: Reding oubwin error! Check SP and SO!"
|
|
|
|
band_window = [numpy.zeros((n_k, 2), dtype=int) for isp in range(SP + 1 - SO)]
|
|
for isp, f in enumerate(files):
|
|
if os.path.exists(f):
|
|
mpi.report("Reading input from %s..."%f)
|
|
R = ConverterTools.read_fortran_file(self, f, self.fortran_to_replace)
|
|
assert int(next(R)) == n_k, "convert_misc_input: Number of k-points is inconsistent in oubwin file!"
|
|
assert int(next(R)) == SO, "convert_misc_input: SO is inconsistent in oubwin file!"
|
|
for ik in range(n_k):
|
|
next(R)
|
|
band_window[isp][ik,0] = next(R) # lowest band
|
|
band_window[isp][ik,1] = next(R) # highest band
|
|
next(R)
|
|
things_to_save.append('band_window')
|
|
|
|
R.close() # Reading done!
|
|
|
|
# Read relevant data from .struct file
|
|
######################################
|
|
# lattice_type: bravais lattice type as defined by Wien2k
|
|
# lattice_constants: unit cell parameters in a. u.
|
|
# lattice_angles: unit cell angles in rad
|
|
|
|
if (os.path.exists(self.struct_file)):
|
|
mpi.report("Reading input from %s..."%self.struct_file)
|
|
|
|
with open(self.struct_file) as R:
|
|
try:
|
|
R.readline()
|
|
lattice_type = R.readline().split()[0]
|
|
R.readline()
|
|
temp = R.readline()
|
|
# print temp
|
|
lattice_constants = numpy.array([float(temp[0+10*i:10+10*i].strip()) for i in range(3)])
|
|
lattice_angles = numpy.array([float(temp[30+10*i:40+10*i].strip()) for i in range(3)]) * numpy.pi / 180.0
|
|
things_to_save.extend(['lattice_type', 'lattice_constants', 'lattice_angles'])
|
|
except IOError:
|
|
raise "convert_misc_input: reading file %s failed" %self.struct_file
|
|
|
|
# Read relevant data from .outputs file
|
|
#######################################
|
|
# rot_symmetries: matrix representation of all (space group) symmetry operations
|
|
|
|
if (os.path.exists(self.outputs_file)):
|
|
mpi.report("Reading input from %s..."%self.outputs_file)
|
|
|
|
rot_symmetries = []
|
|
with open(self.outputs_file) as R:
|
|
try:
|
|
while 1:
|
|
temp = R.readline().strip(' ').split()
|
|
if (temp[0] =='PGBSYM:'):
|
|
n_symmetries = int(temp[-1])
|
|
break
|
|
for i in range(n_symmetries):
|
|
while 1:
|
|
if (R.readline().strip().split()[0] == 'Symmetry'): break
|
|
sym_i = numpy.zeros((3, 3), dtype = float)
|
|
for ir in range(3):
|
|
temp = R.readline().strip().split()
|
|
for ic in range(3):
|
|
sym_i[ir, ic] = float(temp[ic])
|
|
R.readline()
|
|
rot_symmetries.append(sym_i)
|
|
things_to_save.extend(['n_symmetries', 'rot_symmetries'])
|
|
things_to_save.append('rot_symmetries')
|
|
except IOError:
|
|
raise "convert_misc_input: reading file %s failed" %self.outputs_file
|
|
|
|
# Save it to the HDF:
|
|
with HDFArchive(self.hdf_file,'a') as ar:
|
|
if not (misc_subgrp in ar): ar.create_group(misc_subgrp)
|
|
for it in things_to_save: ar[misc_subgrp][it] = locals()[it]
|
|
|
|
|
|
def convert_symmetry_input(self, ctrl_head, orbits, symm_subgrp):
|
|
"""
|
|
Reads input for the symmetrisations from symm_file, which is case.sympar or case.symqmc.
|
|
|
|
Parameters
|
|
----------
|
|
ctrl_head : dict
|
|
dictionary of header of .ctrl file
|
|
orbits : list of shells
|
|
contains all shells
|
|
symm_subgrp : name of symmetry group in h5 archive
|
|
|
|
"""
|
|
|
|
# In VASP interface the symmetries are read directly from *.ctrl file
|
|
# For the moment the symmetry parameters are just stubs
|
|
n_symm = 0
|
|
n_atoms = 1
|
|
perm = [0]
|
|
n_orbits = len(orbits)
|
|
SP = ctrl_head['ns']
|
|
SO = ctrl_head['nc_flag']
|
|
time_inv = [0]
|
|
mat = [numpy.identity(1)]
|
|
mat_tinv = [numpy.identity(1)]
|
|
|
|
# Save it to the HDF:
|
|
with HDFArchive(self.hdf_file,'a') as ar:
|
|
if not (symm_subgrp in ar): ar.create_group(symm_subgrp)
|
|
things_to_save = ['n_symm','n_atoms','perm','orbits','SO','SP','time_inv','mat','mat_tinv']
|
|
for it in things_to_save:
|
|
ar[symm_subgrp][it] = locals()[it]
|