mirror of
https://github.com/triqs/dft_tools
synced 2024-11-07 06:33:48 +01:00
Merge ../bare_plovasp into dev
Conflicts: python/converters/vasp/python/main.py python/converters/vasp/python/plotools.py Merged old version of output with the new one
This commit is contained in:
commit
dd33621e7c
@ -72,7 +72,7 @@ Consistency with parameters
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Selecting projector subsets
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---------------------------
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===========================
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The first step of PLO processing is to select subsets of projectors
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corresponding to PLO groups. Each group contains a set of shells.
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@ -117,7 +117,7 @@ The class is using a helper function `select_bands()` for selecting a subset of
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.. _ortho:
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Orthogonalization
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=================
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-----------------
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At the second stage the selected projectors are orthogonalized (orthonormalized).
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Orthogonalization can be performed in different ways if projection is made
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@ -138,3 +138,54 @@ The way the normalization of a PLO group is done is controlled by two group para
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(False by default)
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Storing generated projectors
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****************************
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After the PLOs are generated they are stored to text files which can be subsequently
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converted to TRIQS h5-files (using the converter). The general format of the file
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is a JSON-header containing all necessary parameters followed by a set of arrays.
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There is always one (control) file containing general information (`k`-kpoints, lattice vectors etc.)
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and `at least` one file containing correlated groups (one file for each group).
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Control file format
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===================
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Filename '<namebase>.ctrl'. Contains the data shared between all shells.
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The JSON-header consists of the following elements:
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* *nk*: number of `k`-points
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* *ns*: number of spin channels
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* *nc_flag*: collinear/noncollinear case (False/True)
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* *ng*: number of projector groups
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* Symmetry information (list of symmetry operations)
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* *efermi*: Fermi level (optional)
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* Lattice information
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Projector-group file format
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===========================
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Projector-group files have names '<namebase>.plog<Ng>'.
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They essentially contain serialized objects of class 'ProjectorGroup'.
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The JSON-header has, thus, the following elements:
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* *shells*: list of shells
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* each shell is a dictionary:
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- *lshell*: orbital number `l`
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- *nion*: number of ions
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- *ndim*: number of orbitals/ion
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- *nbmax*: maxmimum number of bands (needed for array allocations)
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* *emin*, *emax*: energy window
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@ -68,6 +68,9 @@ class ConfigParameters:
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'normalize' : ('normalize', self.parse_string_logical, True),
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'normion' : ('normion', self.parse_string_logical, False)}
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self.gen_optional = {
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'basename' : ('basename', str, 'vasp'),
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'efermi' : ('efermi', float)}
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#
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# Special parsers
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@ -177,7 +180,7 @@ class ConfigParameters:
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key = param_set[par][0]
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try:
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par_str = self.cp.get(section, par)
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except ConfigParser.NoOptionError:
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except (ConfigParser.NoOptionError, ConfigParser.NoSectionError):
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if exception:
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message = "Required parameter '%s' not found in section [%s]"%(par, section)
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raise Exception(message)
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@ -438,8 +441,18 @@ class ConfigParameters:
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"""
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Parses [General] section.
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"""
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# TODO: write the parser
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pass
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self.general = {}
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sections = self.cp.sections()
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gen_section = filter(lambda s: s.lower() == 'general', sections)
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# If no [General] section is found parse a dummy section name to the parser
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# to reset parameters to their default values
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if len(gen_section) > 1:
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raise Exception("More than one section [General] is found")
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if len(gen_section) == 0:
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gen_section = 'general'
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gen_section = gen_section[0]
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parsed = self.parse_parameter_set(gen_section, self.gen_optional, exception=False)
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self.general.update(parsed)
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################################################################################
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#
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@ -3,7 +3,7 @@ import sys
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import vaspio
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from inpconf import ConfigParameters
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from elstruct import ElectronicStructure
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from plotools import generate_plo, plo_output, kpoints_output
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from plotools import generate_ortho_plos, output_as_text
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if __name__ == '__main__':
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narg = len(sys.argv)
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@ -23,11 +23,5 @@ if __name__ == '__main__':
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pars.parse_input()
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vasp_data = vaspio.VaspData(vasp_dir)
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el_struct = ElectronicStructure(vasp_data)
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pshells, pgroups = generate_plo(pars, el_struct)
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for gr in pgroups:
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gr.orthogonalize()
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# TODO: add BASENAME to config parameters
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basename = 'vasp'
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kpoints_output(basename, el_struct)
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plo_output(basename, pshells, pgroups, el_struct)
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pshells, pgroups = generate_ortho_plos(pars, el_struct)
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output_as_text(pars, el_struct, pshells, pgroups)
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@ -2,6 +2,9 @@
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import itertools as it
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import numpy as np
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# 'simplejson' is supposed to be faster than 'json' in stdlib.
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import simplejson as json
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class Projector:
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"""
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Class describing a local-orbital projector.
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@ -277,6 +280,12 @@ class ProjectorShell:
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self.lm2 = (self.lorb+1)**2
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self.ndim = self.lm2 - self.lm1
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if self.tmatrix is None:
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self.ndim = self.lm2 - self.lm1 + 1
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else:
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# TODO: generalize this to a tmatrix for every ion
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self.ndim = self.tmatrix.shape[0]
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# Pre-select a subset of projectors (this should be an array view => no memory is wasted)
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# !!! This sucks but I have to change the order of 'ib' and 'ilm' indices here
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# This should perhaps be done right after the projector array is read from PLOCAR
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@ -424,12 +433,49 @@ def kpoints_output(basename, el_struct):
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################################################################################
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#
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# ctrl_output
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#
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################################################################################
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def ctrl_output(conf_pars, el_struct, ng):
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"""
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Outputs a ctrl-file.
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"""
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ctrl_fname = conf_pars.general['basename'] + '.ctrl'
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head_dict = {}
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# TODO: Add output of tetrahedra
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# Construct the header dictionary
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head_dict['ngroups'] = ng
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head_dict['nk'] = el_struct.kmesh['nktot']
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head_dict['ns'] = el_struct.nspin
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head_dict['nc_flag'] = 1 if el_struct.nc_flag else 0
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# head_dict['efermi'] = conf_pars.general['efermi'] # We probably don't need Efermi
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header = json.dumps(head_dict, indent=4, separators=(',', ': '))
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print " Storing ctrl-file..."
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with open(ctrl_fname, 'wt') as f:
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f.write(header + "\n")
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f.write("#END OF HEADER\n")
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f.write("# k-points and weights\n")
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labels = ['kx', 'ky', 'kz', 'kweight']
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out = "".join(map(lambda s: s.center(15), labels))
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f.write("#" + out + "\n")
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for ik, kp in enumerate(el_struct.kmesh['kpoints']):
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tmp1 = "".join(map("{0:15.10f}".format, kp))
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out = tmp1 + "{0:16.10f}".format(el_struct.kmesh['kweights'][ik])
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f.write(out + "\n")
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################################################################################
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#
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# plo_output
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#
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################################################################################
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def plo_output(basename, pshells, pgroups, el_struct):
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def plo_output(conf_pars, el_struct, pshells, pgroups):
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"""
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Outputs PLO groups into text files.
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@ -455,55 +501,91 @@ def plo_output(basename, pshells, pgroups, el_struct):
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# Projected shells
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Nshells
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# Shells: <shell indices>
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# Shell <1>
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Shell 1
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ndim
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# complex arrays: plo(ns, nion, ndim, nb)
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...
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# Shells: <shell indices>
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# Shell <2>
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Shell 2
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...
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"""
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for ig, gr in enumerate(pgroups):
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fname = basename + '.plog%i'%(ig+1)
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with open(fname, 'wt') as f:
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f.write("# Energy window: emin, emax\n")
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f.write("%i %i\n"%(gr.emin, gr.emax))
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f.write("# Number of electrons within the window\n")
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nelect = gr.nelect_window(el_struct)
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f.write("%s\n"%(round(nelect, 5)))
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f.write("# Eigenvalues: is, ik, ib1, ib2 then list of values\n")
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for ig, pgroup in enumerate(pgroups):
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plo_fname = conf_pars.general['basename'] + '.pg%i'%(ig + 1)
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print " Storing PLO-group file '%s'..."%(plo_fname)
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head_dict = {}
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nk, ns_band, _ = gr.ib_win.shape
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head_dict['ewindow'] = (pgroup.emin, pgroup.emax)
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head_dict['nb_max'] = pgroup.nb_max
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head_shells = []
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for ish in pgroup.ishells:
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shell = pgroup.shells[ish]
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sh_dict = {}
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sh_dict['shell_index'] = ish
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sh_dict['lorb'] = shell.lorb
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sh_dict['ndim'] = shell.ndim
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# Convert ion indices from the internal representation (starting from 0)
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# to conventional VASP representation (starting from 1)
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ion_output = [io + 1 for io in shell.ion_list]
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sh_dict['ion_list'] = ion_output
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# TODO: add the output of transformation matrices
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head_shells.append(sh_dict)
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head_dict['shells'] = head_shells
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header = json.dumps(head_dict, indent=4, separators=(',', ': '))
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with open(plo_fname, 'wt') as f:
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f.write(header + "\n")
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f.write("#END OF HEADER\n")
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# Eigenvalues within the window
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f.write("# Eigenvalues within the energy window: %s, %s\n"%(pgroup.emin, pgroup.emax))
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nk, nband, ns_band = el_struct.eigvals.shape
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for isp in xrange(ns_band):
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f.write("# is = %i\n"%(isp + 1))
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for ik in xrange(nk):
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ib1 = gr.ib_win[ik, isp, 0]
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ib2 = gr.ib_win[ik, isp, 1]
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f.write("%i %i %i %i\n"%(isp+1, ik+1, ib1+1, ib2+1))
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ib1, ib2 = pgroup.ib_win[ik, isp, 0], pgroup.ib_win[ik, isp, 1]
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f.write(" %i %i\n"%(ib1, ib2))
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for ib in xrange(ib1, ib2 + 1):
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f.write("%s\n"%(el_struct.eigvals[ik, ib, isp]))
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f.write("%15.7f\n"%(el_struct.eigvals[ik, ib, isp]))
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f.write("\nProjected shells: nshells\n")
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f.write("%i\n"%(len(gr.ishells)))
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f.write("Shells: <shell indices>\n")
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f.write(' '.join(map(lambda ish: "{0:d}".format(pshells[ish].user_index), gr.ishells)) + '\n')
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for ish in gr.ishells:
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shell = pshells[ish]
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f.write("Orbital dimension: ndim\n")
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f.write("%i\n"%(shell.ndim))
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# Projected shells
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f.write("# Projected shells\n")
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f.write("# Shells: %s\n"%(pgroup.ishells))
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for ish in pgroup.ishells:
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shell = pgroup.shells[ish]
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f.write("# Shell %i\n"%(ish))
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nion, ns, nk, ndim, _ = shell.proj_win.shape
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f.write("# Blocks [isp, ion, ndim, nb], 'nb' fastest index\n")
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for ik in xrange(nk):
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nion, ns, nk, nlm, nb = shell.proj_win.shape
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for isp in xrange(ns):
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# TODO: fix this for non-collinear case (ns != ns_band)
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ib1 = gr.ib_win[ik, isp, 0] - gr.nb_min
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ib2 = gr.ib_win[ik, isp, 1] - gr.nb_min
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f.write("# is = %i\n"%(isp + 1))
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for ik in xrange(nk):
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f.write("# ik = %i\n"%(ik + 1))
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for ion in xrange(nion):
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f.write("# ik = %i, is = %i, ion = %i\n"%(ik+1, isp+1, ion+1))
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for iorb in xrange(ndim):
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for ib in xrange(ib1, ib2+1):
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plo = shell.proj_win[ion, isp, ik, iorb, ib]
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f.write("%20.10f %20.10f\n"%(plo.real, plo.imag))
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for ilm in xrange(nlm):
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ib1, ib2 = pgroup.ib_win[ik, isp, 0], pgroup.ib_win[ik, isp, 1]
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ib1_win = ib1 - shell.nb_min
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ib2_win = ib2 - shell.nb_min
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for ib in xrange(ib1_win, ib2_win + 1):
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p = shell.proj_win[ion, isp, ik, ilm, ib]
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f.write("{0:16.10f}{1:16.10f}\n".format(p.real, p.imag))
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f.write("\n")
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################################################################################
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#
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# output_as_text
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#
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################################################################################
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def output_as_text(pars, el_struct, pshells, pgroups):
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"""
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Output all information necessary for the converter as text files.
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"""
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ctrl_output(pars, el_struct, len(pgroups))
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plo_output(pars, el_struct, pshells, pgroups)
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1
python/converters/vasp/test/_inpconf/.gitignore
vendored
Normal file
1
python/converters/vasp/test/_inpconf/.gitignore
vendored
Normal file
@ -0,0 +1 @@
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*.pyc
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0
python/converters/vasp/test/_inpconf/__init__.py
Normal file
0
python/converters/vasp/test/_inpconf/__init__.py
Normal file
@ -1,4 +1,6 @@
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[General]
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BASENAME = test_base
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EFERMI = 0.1
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[Group 1]
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SHELLS = 1 2
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32
python/converters/vasp/test/_inpconf/test_general.py
Normal file
32
python/converters/vasp/test/_inpconf/test_general.py
Normal file
@ -0,0 +1,32 @@
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r"""
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Tests of 'parse_general()' defined in ConfigParameters class
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"""
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import arraytest
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import numpy as np
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from inpconf import ConfigParameters
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################################################################################
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#
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# TestParseGeneral
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#
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################################################################################
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class TestParseGeneral(arraytest.ArrayTestCase):
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"""
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Function:
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def parse_general(self)
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Scenarios:
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- **if** a correct [General] section is defined **return** a dictionary
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"""
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# Scenario 1
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def test_example(self):
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conf_pars = ConfigParameters('example.cfg')
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conf_pars.parse_general()
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res = conf_pars.general
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expected = {'basename': 'test_base', 'efermi': 0.1}
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self.assertDictEqual(res, expected)
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@ -1,20 +0,0 @@
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[General]
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EFERMI = -0.6
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[Group 1]
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SHELLS = 1 2
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EMIN = -7.6
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EMAX = 2.7
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[Shell 1]
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# Ni shell
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IONS = 5 6 7 8
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LSHELL = 2
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RTRANSFORM =
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0.0 0.0 0.0 0.0 1.0
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0.0 0.0 1.0 0.0 0.0
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[Shell 2]
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# Oxygen shell
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IONS = 9..20
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LSHELL = 1
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1
python/converters/vasp/test/run_all.sh
Executable file
1
python/converters/vasp/test/run_all.sh
Executable file
@ -0,0 +1 @@
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PYTHONPATH=$HOME/Codes/vasp/vasp5.3/plo_vasp/plovasp/python:$HOME/Codes/vasp/vasp5.3/plo_vasp/plovasp/c:$PYTHONPATH python test_all.py
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10
python/converters/vasp/test/test_all.py
Normal file
10
python/converters/vasp/test/test_all.py
Normal file
@ -0,0 +1,10 @@
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r"""
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Searches and runs all available test suites.
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"""
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import unittest
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if __name__ == '__main__':
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suite = unittest.TestLoader().discover('./')
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unittest.TextTestRunner(verbosity=2, buffer=True).run(suite)
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# unittest.TextTestRunner(verbosity=2, buffer=False).run(suite)
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