Automatic launchers and runs¶
Run class¶
- twissed.Run(projectname, id, directory='/mnt/c/Minenna/Programmation/Twissed/doc/source', source=None, **kwargs)[source]¶
Run class.
Create a run from given scripts. The run will be created in the folder /directory/Run_id.
Main function are addfile and save. Each script added with addfile will be save in a pandas dataframe named df_ini_id.csv.
Usage¶
# Initiate new run run = twissed.Run('twissed Run', directory=os.getcwd(), id=0, # Add to dict: author='Damien', description='Run for test') # Add file to run filename = "run.sh" filepath = os.path.join(directory, "run_fbpic_topaze.sh") run.addfile(filename, filepath, # Add to dict: accronyme="Skytest", slurm_n_core=20, slurm_T_cputime=84000, scriptpath = os.path.join(run.folderpath, "script_fbpic.py")) # Add file to run filename = "script_fbpic.py" filepath = os.path.join(directory, "script_fbpic.py") run.addfile(filename, filepath, # Add to dict: a0 = 1.3, w0 = 20.9e-6, taua = 2.5e-14, zfoc = 3.6e-03, z0 = -30.6*1e-6, ) # Create df_ini_00000000.csv file run.save()
Get data from Run¶
Read data from run
- twissed.getdatafromrun(path: str = '/mnt/c/Minenna/Programmation/Twissed/doc/source', timestep: int = -1, source: str = None, species: str = 'electrons') DataFrame[source]¶
Create df_end_id.csv file.
- Parameters:
path (str, optional) – Path to run. Defaults to os.getcwd().
timestep (int, optional) – Step time wanted. Defaults to -1 (last one).
source (str, optional) – Set the source of the simulation. If None, will try to find the source from the df_ini_***.csv file. Defaults to None.
species (str, optional) – Name of the beam species. Defaults to “electrons”
- Returns:
Pandas dataframe with the dict from Step.
- Return type:
pd.DataFrame