diff options
Diffstat (limited to 'submitter/make_dag.py')
| -rw-r--r-- | submitter/make_dag.py | 13 |
1 files changed, 11 insertions, 2 deletions
diff --git a/submitter/make_dag.py b/submitter/make_dag.py index be13ac8..53878a2 100644 --- a/submitter/make_dag.py +++ b/submitter/make_dag.py @@ -35,7 +35,7 @@ burnin = 500 nsteps = 2000 nwalkers = 60 seed = 24 -threads = 4 +threads = 1 mcmc_seed_type = 'uniform' # FR @@ -68,6 +68,7 @@ data = 'real' # Bayes Factor run_bayes_factor = 'False' +run_angles_limit = 'True' bayes_bins = 10 bayes_live_points = 200 bayes_tolerance = 0.01 @@ -78,7 +79,7 @@ plot_angles = 'False' plot_elements = 'False' plot_bayes = 'False' -outfile = 'dagman_FR.submit' +outfile = 'dagman_FR_angles_limit.submit' golemfitsourcepath = os.environ['GOLEMSOURCEPATH'] + '/GolemFit' condor_script = golemfitsourcepath + '/scripts/flavour_ratio/submitter/submit.sub' @@ -105,6 +106,8 @@ with open(outfile, 'w') as f: outchains = outchain_head + '/fix_ifr/{0}/'.format(str(sig).replace('.', '_')) if run_bayes_factor == 'True': bayes_output = outchains + '/bayes_factor/' + if run_angles_limit == 'True': + angles_lim_output = outchains + '/angles_limit/' outchains += 'mcmc_chain' for r in range(b_runs): print 'run', r @@ -156,6 +159,8 @@ with open(outfile, 'w') as f: f.write('VARS\tjob{0}\tbayes_tolerance="{1}"\n'.format(job_number, bayes_tolerance)) f.write('VARS\tjob{0}\tplot_bayes="{1}"\n'.format(job_number, plot_bayes)) f.write('VARS\tjob{0}\tbayes_eval_bin="{1}"\n'.format(job_number, r)) + f.write('VARS\tjob{0}\trun_angles_limit="{1}"\n'.format(job_number, run_angles_limit)) + f.write('VARS\tjob{0}\tangles_lim_output="{1}"\n'.format(job_number, angles_lim_output)) job_number += 1 for frs in full_scan_mfr: @@ -163,6 +168,8 @@ with open(outfile, 'w') as f: outchains = outchain_head + '/full_scan/{0}'.format(str(sig).replace('.', '_')) if run_bayes_factor == 'True': bayes_output = outchains + '/bayes_factor/' + if run_angles_limit == 'True': + angles_lim_output = outchains + '/angles_limit/' outchains += 'mcmc_chain' for r in range(b_runs): print 'run', r @@ -214,4 +221,6 @@ with open(outfile, 'w') as f: f.write('VARS\tjob{0}\tbayes_tolerance="{1}"\n'.format(job_number, bayes_tolerance)) f.write('VARS\tjob{0}\tplot_bayes="{1}"\n'.format(job_number, plot_bayes)) f.write('VARS\tjob{0}\tbayes_eval_bin="{1}"\n'.format(job_number, r)) + f.write('VARS\tjob{0}\trun_angles_limit="{1}"\n'.format(job_number, run_angles_limit)) + f.write('VARS\tjob{0}\tangles_lim_output="{1}"\n'.format(job_number, angles_lim_output)) job_number += 1 |