tsvncSileSiesta

class sisl.io.siesta.tsvncSileSiesta(filename, mode='r', lvl=0, access=1, *args, **kwargs)

TranSiesta potential input Grid file object

This potential input file is mainly intended for the Hartree solution which complements N-electrode calculations in TranSiesta.

See also

Grid.topyamg

intrinsic grid conversion to the Poisson equation

Attributes

base_file	File of the current Sile
file	File of the current Sile

Methods

__init__(self, filename[, mode, lvl, access])	Initialize self.
close(self)
dir_file(self[, filename])	File of the current Sile
exist(self)	Query whether the file exists
iter(self[, group, dimension, variable, …])	Iterator on all groups, variables and dimensions.
read(self, \*args, \*\*kwargs)	Generic read method which should be overloaded in child-classes
read_grid(self, \*args, \*\*kwargs)	Reads the TranSiesta potential input grid
write(self, \*args, \*\*kwargs)	Generic write method which should be overloaded in child-classes
write_grid(self, grid)	Write the Poisson solution to the TSV.nc file

property base_file

File of the current Sile

close(self)

dir_file(self, filename=None)

File of the current Sile

exist(self)

Query whether the file exists

property file

File of the current Sile

iter(self, group=True, dimension=True, variable=True, levels=-1, root=None)

Iterator on all groups, variables and dimensions.

This iterator iterates through all groups, variables and dimensions in the Dataset

The generator sequence will _always_ be:

1. Group

2. Dimensions in group

3. Variables in group

As the dimensions are generated before the variables it is possible to copy groups, dimensions, and then variables such that one always ensures correct dependencies in the generation of a new SileCDF.

Parameters

groupbool (True)

whether the iterator yields Group instances

dimensionbool (True)

whether the iterator yields Dimension instances

variablebool (True)

whether the iterator yields Variable instances

levelsint (-1)

number of levels to traverse, with respect to root variable, i.e. number of sub-groups this iterator will return.

rootstr (None)

the base root to start iterating from.

Examples

Script for looping and checking each instance.

>>> for gv in self.iter():
...     if self.isGroup(gv):
...         # is group
...     elif self.isDimension(gv):
...         # is dimension
...     elif self.isVariable(gv):
...         # is variable

read(self, *args, **kwargs)

Generic read method which should be overloaded in child-classes

Parameters

kwargs :

keyword arguments will try and search for the attribute read_<> and call it with the remaining **kwargs as arguments.

read_grid(self, *args, **kwargs)

Reads the TranSiesta potential input grid

write(self, *args, **kwargs)

Generic write method which should be overloaded in child-classes

Parameters

**kwargs :

keyword arguments will try and search for the attribute write_ and call it with the remaining **kwargs as arguments.

write_grid(self, grid)

Write the Poisson solution to the TSV.nc file