FixedConfigGenerator#

class libcasm.clexmonte.FixedConfigGenerator( configuration: Configuration | None = None, supercell: Supercell | None = None, motif: Configuration | None = None, )[source]#

Bases: object

A ConfigGenerator for state generation - always returns the same configuration

Notes

Returns the same configuration no matter what the current conditions and completed runs are.

Constructor

Parameters:

configuration (Optional[Configuration]=None) – The configuration to generate, directly. If provided, other parameters are ignored.
supercell (Optional[Supercell]=None) – The Monte Carlo supercell if configuration is not provided.
motif (Optional[Configuration]=None) – Initial configuration, which will be copied and tiled into the Monte Carlo supercell. If a perfect tiling can be made by applying factor group operations, a note is printed indicating which operation is applied. A warning is printed if there is no perfect tiling and the motif is used without reorientation to fill the supercell imperfectly. If supercell is given but no motif is provided, the default configuration is used.

Methods

`from_dict`(…)	Construct FixedConfigGenerator from a Python dict
`methodname`(…)	Returns the method name "fixed"
`to_dict`()	Convert FixedConfigGenerator to a Python dict