目次
Class methods for JOB control
calculate
calculate(self)
run a calculation. you have to be a little careful with code in here. Use the calculation_required function to tell if a calculation is required. It is assumed here that if you call this, you mean it.
calculation_required
calculation_required(self, atoms=None, quantities=None)
determines if a calculation is needed.
return True if a calculation is needed to get up to date data. return False if no calculation is needed.
quantities is here because of the ase interface.
execute_external_dynamics
execute_external_dynamics(self, nc=None, txt=None, stoppfile='stop', stopprogram=None) Implementation of the stay alive functionality with socket communication between dacapo and python. Known limitations: It is not possible to start 2 independent Dacapo calculators from the same python process, since the python PID is used as identifier for the script[PID].py file.
execute_parent_calculation
execute_parent_calculation(self)
Implementation of an extra level of parallelization, where one jacapo calculator spawns several dacapo.run processes. This is used for NEBs parallelized over images.
get_ascii_debug
get_ascii_debug(self)
Return the debug settings in Dacapo
get_debug(self) Return the python logging level set_ascii_debug(self, level) set the debug level for Dacapo :Parameters: level : string one of 'Off', 'MediumLevel', 'HighLevel' set_debug(self, debug) set debug level for python logging debug should be an integer from 0-100 or one of the logging constants like logging.DEBUG, logging.WARN, etc...