castepinput 0.1.4

A general reader writer for CASTEP inputs

A simple CASTEP input files parser/writer

This package provide a basic framework for read/write input files of CASTEP. There is already a excellent reader/writer implemented in ase but they are ortentated to work with the Atoms and Calculator classes in ase. It also requires a CASTEP binary to exist to work. This package aim to provide a more generic framework with minimum dependency for simple (but important) tasks of writing and reading inputs files of CASTEP.

Usage

The two classes to be used for reading/writing inputs are ParamInput and CellInput. Keyword-value pairs can be set the same as dictionaries. For example:

from castepinput import CellInput, ParamInput
# ParamInput is in fact just a subclass of OrderedDict
param = ParamInput(cut_off_energy=300, task="singlepoint")
param["opt_strategy"] = "speed"

# Use the Block class to signal that it is a BLOCK
# The following line sets the positions_abs
cell = CellInput(positions_abs=Block(["C 0 0 0", "C 1 0 0"])

The two classes use simple string formatting when writing out the content. See the following code as example.

cell = CellInput(snap_to_symmetry=True)

# Should give 'snap_to_symmetry : True'
cell.get_string()

# Should give 'symmetry_genreate : true'
cell['snap_to_symmetry'] = 'true'
cell.get_string()

# Not all CASTEP keyword requires a value
# Use "" as the value will result just a keyword on a line
cell['symmetry_generate'] = ''
# Should give a string with a line 'symmetry_generate'
cell.get_string()

# Set cell and positions use the set methods
cell.set_cell([10 ,10 , 10])
cell.set_positions(["O", "O"], [[0, 0, 0], [1.4, 0, 0]])
# Save to file
cell.save("O2.cell")

To initialize from a existing param/cell file, use the ParamInput.from_file method.

cell = CellInput.from_file("O2.cell")
# This should give [[10, 0, 0], [0, 10, 0], [0, 0, 10]]
cell.get_cell()

# The value returned should be "" to be consistent with setting
cell["symmetry_generate"]

We also try to be smart and convert string into python types where it is possible. Supported types are integer, floats and 1-d arrays made of integer/floats. These coversions can be avoided by using ParamInput.from_file(filename, plain=True) when loading files.