blackdynamite | Python help for management of numerical parametric study

The easiest is through pip, that needs first to be installed:.
First we need to set the python headers and to import the BlackDynamite modules by. Then you have to create a generic black dynamite parser and parse the system (including the connection parameters and credentials). This mechanism allows to easily inherit from the parser mechanism of BlackDynamite, including the completion (if activated: see installation instructions). Then you can connect to the black dynamite database.
Then you have to define the parametric space (at present time, the parametric space cannot be changed once the study started: be careful with your choices). Any particular job is defined as a point in the parametric space. For instance, to create a job description and add the parameters with int, float or list parameters, you can use the following python sequence.
Aside of the jobs, a run will represent a particular realisation (computation) of a job. To get clearer, the run will contain information of the machine it was run on, the executable version, or the number of processors employed. For instance creating the run pattern can be done with:.
machine_name: the name of the machine where the run must be executed
job_id (integer): the ID of the running job
has_started (bool): flag to know whether the job has already started
has_finished (bool): flag to know whether the job has already finished
run_name (string): the name of the run
wait_id (int): The id of a run to wait before starting
start_time (TIMESTAMP): The start time for the run
If you want to setup a PostGreSQL server to store BlackDynamite data, then you have to follow this procedure.