from lande.utilities.save import loaddict from lande.utilities.jobtools import JobBuilder superfile='$superfile/snrdata.yaml' snrs=loaddict(superfile).keys() params=dict(name=snrs, snrdata='$superfile/snrdata.yaml', latdata='$snrlimcode/snrlatdata.yaml') b = JobBuilder( savedir='$snrlimdata/v1', params=params, code='$snrlimcode/run.py', short_folder_names=True) b.build()
# September 7, 2012 params=dict() params['mc-energy']=[True,False] params['source','spectrum']=[['IC443','PowerLaw'], ['IC443','SmoothBrokenPowerLaw'], ] params['diffuse'] = [ 'extrapolated'] j = JobBuilder(savedir='$snr_sim_sims/v6/full', code='$snr_sim_code/simulate.py', num=5, params=params) j.build() params=dict() params['mc-energy']=[True,False] params['source','spectrum']=[['IC443','PowerLaw'], ['IC443','SmoothBrokenPowerLaw'], ] params['fluxfactor'] = [ 100 ] params['diffuse'] = [ 'nobackground'] params['spatial'] = [ 'point', 'extended' ] j = JobBuilder(savedir='$snr_sim_sims/v6/simple',