add brackets to all print statements

7 files changed, 43 insertions, 43 deletions

diff --git a/scripts/contour.py b/scripts/contour.py
index 6f08617..cbb6c87 100644
--- a/scripts/contour.py
+++ b/scripts/contour.py
@@ -194,10 +194,10 @@ def main():
 
     prefix = ''
     outfile = args.datadir + '/contour' + prefix + gen_identifier(args)
-    print '== {0:<25} = {1}'.format('outfile', outfile)
+    print('== {0:<25} = {1}'.format('outfile', outfile))
 
-    print 'asimov_paramset', asimov_paramset
-    print 'hypo_paramset', hypo_paramset
+    print('asimov_paramset', asimov_paramset)
+    print('hypo_paramset', hypo_paramset)
 
     if args.run_mcmc:
         gf_utils.setup_fitter(args, asimov_paramset)
@@ -250,7 +250,7 @@ def main():
         labels       = labels
     )
 
-    print "DONE!"
+    print("DONE!")
 
 
 main.__doc__ = __doc__
diff --git a/scripts/fr.py b/scripts/fr.py
index e32d7d0..25cc1f8 100644
--- a/scripts/fr.py
+++ b/scripts/fr.py
@@ -171,13 +171,13 @@ def main():
     outfile = args.datadir + '/{0}/{1}/chains_'.format(
         *map(misc_utils.parse_enum, [args.stat_method, args.data])
     ) + misc_utils.gen_identifier(args)
-    print '== {0:<25} = {1}'.format('outfile', outfile)
+    print('== {0:<25} = {1}'.format('outfile', outfile))
 
     if args.run_mcmc:
         gf_utils.setup_fitter(args, asimov_paramset)
 
-        print 'asimov_paramset', asimov_paramset
-        print 'llh_paramset', llh_paramset
+        print('asimov_paramset', asimov_paramset)
+        print('llh_paramset', llh_paramset)
 
         ln_prob = partial(
             llh_utils.ln_prob,
@@ -240,7 +240,7 @@ def main():
         labels       = labels,
         ranges       = ranges
     )
-    print "DONE!"
+    print("DONE!")
 
 
 main.__doc__ = __doc__
diff --git a/scripts/mc_texture.py b/scripts/mc_texture.py
index 2813dc0..9e3f0eb 100644
--- a/scripts/mc_texture.py
+++ b/scripts/mc_texture.py
@@ -182,10 +182,10 @@ def main():
 
     prefix = ''
     outfile = args.datadir + '/mc_texture' + prefix + gen_identifier(args)
-    print '== {0:<25} = {1}'.format('outfile', outfile)
+    print('== {0:<25} = {1}'.format('outfile', outfile))
 
-    print 'asimov_paramset', asimov_paramset
-    print 'llh_paramset', llh_paramset
+    print('asimov_paramset', asimov_paramset)
+    print('llh_paramset', llh_paramset)
 
     if args.run_mcmc:
         ln_prob_eval = partial(
@@ -223,7 +223,7 @@ def main():
         frs_scale = np.vstack((frs.T, samples[:-1].T)).T
         mcmc_utils.save_chains(frs_scale, outfile)
 
-    print "DONE!"
+    print("DONE!")
 
 
 main.__doc__ = __doc__
diff --git a/scripts/mc_unitary.py b/scripts/mc_unitary.py
index bbd5a28..0f0e8f4 100644
--- a/scripts/mc_unitary.py
+++ b/scripts/mc_unitary.py
@@ -155,10 +155,10 @@ def main():
 
     prefix = ''
     outfile = args.datadir + '/mc_unitary' + prefix + gen_identifier(args)
-    print '== {0:<25} = {1}'.format('outfile', outfile)
+    print('== {0:<25} = {1}'.format('outfile', outfile))
 
-    print 'asimov_paramset', asimov_paramset
-    print 'hypo_paramset', hypo_paramset
+    print('asimov_paramset', asimov_paramset)
+    print('hypo_paramset', hypo_paramset)
 
     if args.run_mcmc:
         ln_prob_eval = partial(
@@ -193,7 +193,7 @@ def main():
         )
         mcmc_utils.save_chains(frs, outfile)
 
-    print "DONE!"
+    print("DONE!")
 
 
 main.__doc__ = __doc__
diff --git a/scripts/mc_x.py b/scripts/mc_x.py
index 04319c4..875c40b 100644
--- a/scripts/mc_x.py
+++ b/scripts/mc_x.py
@@ -151,10 +151,10 @@ def main():
 
     prefix = ''
     outfile = args.datadir + '/mc_x' + prefix
-    print '== {0:<25} = {1}'.format('outfile', outfile)
+    print('== {0:<25} = {1}'.format('outfile', outfile))
 
-    print 'asimov_paramset', asimov_paramset
-    print 'hypo_paramset', hypo_paramset
+    print('asimov_paramset', asimov_paramset)
+    print('hypo_paramset', hypo_paramset)
 
     if args.run_mcmc:
         ln_prob_eval = partial(
@@ -192,7 +192,7 @@ def main():
         )
         mcmc_utils.save_chains(frs, outfile)
 
-    print "DONE!"
+    print("DONE!")
 
 
 main.__doc__ = __doc__
diff --git a/scripts/plot_sens.py b/scripts/plot_sens.py
index 18e0c03..2c827ca 100644
--- a/scripts/plot_sens.py
+++ b/scripts/plot_sens.py
@@ -82,7 +82,7 @@ def process_args(args):
             skip = False
             for a in anon:
                 if (a[1] > x) & (x > a[0]):
-                    print 'Skipping src', x
+                    print('Skipping src', x)
                     skip = True
                     break
             if skip: continue
@@ -171,7 +171,7 @@ def main():
     # Initialise data structure.
     statistic_arr = np.full((dims, srcs, texs, args.segments, 2), np.nan)
 
-    print 'Loading data'
+    print('Loading data')
     argsc = deepcopy(args)
     for idim, dim in enumerate(args.dimensions):
         argsc.dimension = dim
@@ -194,7 +194,7 @@ def main():
                     *map(parse_enum, [args.stat_method, args.data])
                 ) + r'{0}/fr_stat'.format(prefix) + gen_identifier(argsc)
 
-                print '== {0:<25} = {1}'.format('base_infile', base_infile)
+                print('== {0:<25} = {1}'.format('base_infile', base_infile))
 
                 if args.split_jobs:
                     for idx_sc, scale in enumerate(eval_scales):
@@ -202,31 +202,31 @@ def main():
                             np.power(10, scale)
                         )
                         try:
-                            print 'Loading from {0}'.format(infile+'.npy')
+                            print('Loading from {0}'.format(infile+'.npy'))
                             statistic_arr[idim][isrc][itex][idx_sc] = \
                                 np.load(infile+'.npy')[0]
                         except:
-                            print 'Unable to load file {0}'.format(
+                            print('Unable to load file {0}'.format(
                                 infile+'.npy'
-                            )
+                            ))
                             # raise
                             continue
                 else:
-                    print 'Loading from {0}'.format(base_infile+'.npy')
+                    print('Loading from {0}'.format(base_infile+'.npy'))
                     try:
                         statistic_arr[idim][isrc][itex] = \
                             np.load(base_infile+'.npy')
                     except:
-                        print 'Unable to load file {0}'.format(
+                        print('Unable to load file {0}'.format(
                             base_infile+'.npy'
-                        )
+                        ))
                         continue
 
     data = ma.masked_invalid(statistic_arr)
 
-    print 'data', data
+    print('data', data)
     if args.plot_statistic:
-        print 'Plotting statistic'
+        print('Plotting statistic')
 
         for idim, dim in enumerate(args.dimensions):
             argsc.dimension = dim
@@ -268,7 +268,7 @@ def main():
     argsc = deepcopy(args)
     if args.plot_x:
         for idim, dim in enumerate(args.dimensions):
-            print '|||| DIM = {0}'.format(dim)
+            print('|||| DIM = {0}'.format(dim))
             argsc.dimension = dim
             plot_utils.plot_x(
                 data      = data[idim],
diff --git a/scripts/sens.py b/scripts/sens.py
index 6368159..5198016 100644
--- a/scripts/sens.py
+++ b/scripts/sens.py
@@ -209,8 +209,8 @@ def main():
     ) + misc_utils.gen_identifier(args)
 
     if not args.overwrite and os.path.isfile(outfile+'.npy'):
-        print 'FILE EXISTS {0}'.format(outfile+'.npy')
-        print 'Exiting...'
+        print('FILE EXISTS {0}'.format(outfile+'.npy'))
+        print('Exiting...')
         return
 
     # Setup Golemfit.
@@ -225,16 +225,16 @@ def main():
             if idx_sc == args.eval_segment:
                 outfile += '_scale_{0:.0E}'.format(np.power(10, scale))
             else: continue
-        print '|||| SCALE = {0:.0E}'.format(np.power(10, scale))
+        print('|||| SCALE = {0:.0E}'.format(np.power(10, scale)))
 
         if not args.overwrite and os.path.isfile(outfile+'.npy'):
-            print 'FILE EXISTS {0}'.format(outfile+'.npy')
+            print('FILE EXISTS {0}'.format(outfile+'.npy'))
             t = np.load(outfile+'.npy')
             if np.any(~np.isfinite(t)):
-                print 'nan found, rerunning...'
+                print('nan found, rerunning...')
                 pass
             else:
-                print 'Exiting...'
+                print('Exiting...')
                 return
 
         # Lower scale boundary for first (NULL) point and set the scale param.
@@ -262,9 +262,9 @@ def main():
                 prefix          = prefix
             )
         except:
-            print 'Failed run'
+            print('Failed run')
             raise
-        print '## Evidence = {0}'.format(stat)
+        print('## Evidence = {0}'.format(stat))
 
         if args.eval_segment is not None:
             stat_arr[0] = np.array([scale, stat])
@@ -278,14 +278,14 @@ def main():
         if args.run_mn and not args.debug:
             try:
                 for f in glob.glob(prefix + '*'):
-                    print 'cleaning file {0}'.format(f)
+                    print('cleaning file {0}'.format(f))
                     os.remove(f)
             except:
-                print 'got error trying to cleanup, continuing'
+                print('got error trying to cleanup, continuing')
                 pass
 
     misc_utils.make_dir(outfile)
-    print 'Saving to {0}'.format(outfile+'.npy')
+    print('Saving to {0}'.format(outfile+'.npy'))
     np.save(outfile+'.npy', stat_arr)