def iter_states(elements, max_kation, max_anion, hund):
'''Iterate over all requested atomic states
**Arguments:**
elements
A string that is suitable for ``iter_elements``
template
An instance of the ``atomdb.Template`` class
max_kation
The limit for the most positive kation
max_anion
The limit for the most negative anion
hund
Flag to adhere to hund's rule for the spin multiplicities.
'''
for number in iter_elements(elements):
# Loop over all charge states for this element
for charge in xrange(-max_anion, max_kation + 1):
nel = number - charge
if nel <= 0:
continue
# loop over multiplicities
for mult in iter_mults(nel, hund):
yield number, charge, mult
def iter_states(elements, max_kation, max_anion, hund):
'''Iterate over all requested atomic states
**Arguments:**
elements
A string that is suitable for ``iter_elements``
template
An instance of the ``atomdb.Template`` class
max_kation
The limit for the most positive kation
max_anion
The limit for the most negative anion
hund
Flag to adhere to hund's rule for the spin multiplicities.
'''
for number in iter_elements(elements):
# Loop over all charge states for this element
for charge in xrange(-max_anion, max_kation+1):
nel = number - charge
if nel <= 0:
continue
# loop over multiplicities
for mult in iter_mults(nel, hund):
yield number, charge, mult
def main():
args = parse_args()
fn_h5, grp_name = parse_h5(args.output, 'output')
# check if the group is already present (and not empty) in the output file
if check_output(fn_h5, grp_name, args.overwrite):
return
# Load the system
sys = System.from_file(args.cube)
ugrid = sys.grid
if not isinstance(ugrid, UniformGrid):
raise TypeError(
'The specified file does not contain data on a rectangular grid.')
ugrid.pbc[:] = parse_pbc(args.pbc)
moldens = sys.extra['cube_data']
# Reduce the grid if required
if args.stride > 1 or args.chop > 0:
moldens, ugrid = reduce_data(moldens, ugrid, args.stride, args.chop)
# Load the proatomdb and make pro-atoms more compact if that is requested
proatomdb = ProAtomDB.from_file(args.atoms)
if args.compact is not None:
proatomdb.compact(args.compact)
proatomdb.normalize()
# Select the partitioning scheme
CPartClass = cpart_schemes[args.scheme]
# List of element numbers for which weight corrections are needed:
wcor_numbers = list(iter_elements(args.wcor))
# Run the partitioning
kwargs = dict((key, val) for key, val in vars(args).iteritems()
if key in CPartClass.options)
cpart = cpart_schemes[args.scheme](sys, ugrid, True, moldens, proatomdb,
wcor_numbers, args.wcor_rcut_max,
args.wcor_rcond, **kwargs)
names = cpart.do_all()
# Do a symmetry analysis if requested.
if args.symmetry is not None:
sys_sym = System.from_file(args.symmetry)
sym = sys_sym.extra.get('symmetry')
if sym is None:
raise ValueError('No symmetry information found in %s.' %
args.symmetry)
sys_results = dict((name, cpart[name]) for name in names)
sym_results = symmetry_analysis(sys, sym, sys_results)
cpart.cache.dump('symmetry', sym_results)
names.append('symmetry')
sys.extra['symmetry'] = sym
write_part_output(fn_h5, grp_name, cpart, names, args)
def main():
args = parse_args()
fn_h5, grp_name = parse_h5(args.output, 'output')
# check if the group is already present (and not empty) in the output file
if check_output(fn_h5, grp_name, args.overwrite):
return
# Load the system
sys = System.from_file(args.cube)
ugrid = sys.grid
if not isinstance(ugrid, UniformGrid):
raise TypeError('The specified file does not contain data on a rectangular grid.')
ugrid.pbc[:] = parse_pbc(args.pbc)
moldens = sys.extra['cube_data']
# Reduce the grid if required
if args.stride > 1 or args.chop > 0:
moldens, ugrid = reduce_data(moldens, ugrid, args.stride, args.chop)
# Load the proatomdb and make pro-atoms more compact if that is requested
proatomdb = ProAtomDB.from_file(args.atoms)
if args.compact is not None:
proatomdb.compact(args.compact)
proatomdb.normalize()
# Select the partitioning scheme
CPartClass = cpart_schemes[args.scheme]
# List of element numbers for which weight corrections are needed:
wcor_numbers = list(iter_elements(args.wcor))
# Run the partitioning
kwargs = dict((key, val) for key, val in vars(args).iteritems() if key in CPartClass.options)
cpart = cpart_schemes[args.scheme](
sys, ugrid, True, moldens, proatomdb, wcor_numbers,
args.wcor_rcut_max, args.wcor_rcond, **kwargs)
names = cpart.do_all()
# Do a symmetry analysis if requested.
if args.symmetry is not None:
sys_sym = System.from_file(args.symmetry)
sym = sys_sym.extra.get('symmetry')
if sym is None:
raise ValueError('No symmetry information found in %s.' % args.symmetry)
sys_results = dict((name, cpart[name]) for name in names)
sym_results = symmetry_analysis(sys, sym, sys_results)
cpart.cache.dump('symmetry', sym_results)
names.append('symmetry')
sys.extra['symmetry'] = sym
write_part_output(fn_h5, grp_name, cpart, names, args)
def main():
args = parse_args()
fn_h5, grp_name = parse_h5(args.output, 'output')
# check if the group is already present (and not empty) in the output file
if check_output(fn_h5, grp_name, args.overwrite):
return
# Load the IOData
mol = IOData.from_file(args.cube)
ugrid = mol.grid
if not isinstance(ugrid, UniformGrid):
raise TypeError('The density cube file does not contain data on a rectangular grid.')
ugrid.pbc[:] = parse_pbc(args.pbc)
moldens = mol.cube_data
# Reduce the grid if required
if args.stride > 1 or args.chop > 0:
moldens, ugrid = reduce_data(moldens, ugrid, args.stride, args.chop)
# Load the spin density (optional)
if args.spindens is not None:
molspin = IOData.from_file(args.spindens)
if not isinstance(molspin.grid, UniformGrid):
raise TypeError('The spin cube file does not contain data on a rectangular grid.')
spindens = molspin.cube_data
if args.stride > 1 or args.chop > 0:
spindens = reduce_data(spindens, molspin.grid, args.stride, args.chop)[0]
if spindens.shape != moldens.shape:
raise TypeError('The shape of the spin cube does not match the shape of the density cube.')
else:
spindens = None
# Load the proatomdb and make pro-atoms more compact if that is requested
proatomdb = ProAtomDB.from_file(args.atoms)
if args.compact is not None:
proatomdb.compact(args.compact)
proatomdb.normalize()
# Select the partitioning scheme
CPartClass = cpart_schemes[args.scheme]
# List of element numbers for which weight corrections are needed:
if args.wcor == '0':
wcor_numbers = []
else:
wcor_numbers = list(iter_elements(args.wcor))
# Run the partitioning
kwargs = dict((key, val) for key, val in vars(args).iteritems() if key in CPartClass.options)
cpart = cpart_schemes[args.scheme](
mol.coordinates, mol.numbers, mol.pseudo_numbers, ugrid, moldens,
proatomdb, spindens=spindens, local=True, wcor_numbers=wcor_numbers,
wcor_rcut_max=args.wcor_rcut_max, wcor_rcond=args.wcor_rcond, **kwargs)
keys = cpart.do_all()
# Do a symmetry analysis if requested.
if args.symmetry is not None:
mol_sym = IOData.from_file(args.symmetry)
if not hasattr(mol_sym, 'symmetry'):
raise ValueError('No symmetry information found in %s.' % args.symmetry)
aim_results = dict((key, cpart[key]) for key in keys)
sym_results = symmetry_analysis(mol.coordinates, ugrid.get_cell(), mol_sym.symmetry, aim_results)
cpart.cache.dump('symmetry', sym_results)
keys.append('symmetry')
write_part_output(fn_h5, grp_name, cpart, keys, args)
