python 3 compatibility

harnessed_jobs/collect_raft_results/v0/producer_collect_raft_results.py

@@ -27,7 +27,7 @@ def slot_dependency_glob(pattern, jobname):
 # Use a mean bias file to determine the maximum number of active
 # pixels for the image quality statistics.
 bias_files = slot_dependency_glob('*_mean_bias_*.fits', 'fe55_raft_analysis')
-total_num, rolloff_mask = sensorTest.pixel_counts(bias_files.values()[0])
+total_num, rolloff_mask = sensorTest.pixel_counts(list(bias_files.values())[0])
 
 # Exposure time (in seconds) for 95th percentile dark current shot
 # noise calculation.

harnessed_jobs/fe55_raft_analysis/v0/producer_fe55_raft_analysis.py

@@ -53,7 +53,7 @@ def run_fe55_task(sensor_id):
                                 '%s_fe55_apflux_parallel.png' % file_prefix,
                                 pixel_coord='y')
 
-    except StandardError as eobj:
+    except Exception as eobj:
         print("Exception raised while creating pixel statistics plots:")
         print(str(eobj))
         print("Skipping these plots.")

harnessed_jobs/qa_plots_raft/v0/producer_qa_plots_raft.py

@@ -16,7 +16,7 @@ def dirname_dependencyGlob(ccd_vendor, **kwds):
     Return the directory path with the FITS output files for the
     specified jobname.
     """
-    if kwds.has_key('jobname'):
+    if 'jobname' in kwds:
         kwds['jobname'] = siteUtils.getProcessName(kwds['jobname'])
     file0 = dependency_glob('S*/%(ccd_vendor)s*.fits' % locals(), **kwds)[0]
     # Apply os.path.dirname twice to omit both slot folder and file

harnessed_jobs/qe_raft_analysis/v0/producer_qe_raft_analysis.py

@@ -56,7 +56,7 @@ def run_qe_task(sensor_id):
     try:
         plots.flat_fields(os.path.dirname(lambda_files[0]),
                           annotation='e-/pixel, gain-corrected, bias-subtracted')
-    except StandardError as eobj:
+    except Exception as eobj:
         print("Exception raised while creating flat fields:")
         print(str(eobj))
 

python/correlated_noise.py

@@ -1,3 +1,4 @@
+from __future__ import print_function
 import glob
 from collections import namedtuple, defaultdict
 import itertools
@@ -236,7 +237,7 @@ def set_ticks(ax, slots, amps=16):
         = correlated_noise(bias_files, make_plots=True, plot_corr=False,
                            title='Run 5808D, ETU1, S00')
     for amp, stats in etu1_stats.items():
-        print amp, stats
+        print(amp, stats)
     plt.figure(f1.number)
     plt.savefig('ETU1_S00_noise_corr.png')
 
@@ -245,6 +246,6 @@ def set_ticks(ax, slots, amps=16):
         = correlated_noise(bias_files, make_plots=True, plot_corr=False,
                            title='Run 6288, RTM-005, S00')
     for amp, stats in rtm005_stats.items():
-        print amp, stats
+        print(amp, stats)
     plt.figure(f1.number)
     plt.savefig('RTM-005_S00_noise_corr.png')