UVIS FUV gives wrong backplane results

[rfrenchseti]

UVIS FUV gives erroneous backplanes. Given the source code:

import numpy as np
import matplotlib.pyplot as plt
import hosts.cassini.uvis as uvis
import oops

obs = uvis.from_file('FUV2012_001_08_25.LBL')
bp = oops.Backplane.Backplane(obs)
lat = bp.latitude('SATURN')
plt.imshow(np.degrees(lat.mvals))
plt.show()

and the preview image:

https://opus.pds-rings.seti.org/holdings/previews/COUVIS_0xxx/COUVIS_0038/DATA/D2012_001/FUV2012_001_08_25_full.png

we actually get the backplane:

[rfrenchseti]

Note the UVIS host module will need minor modifications to work with Python 3:

diff --git a/hosts/cassini/uvis.py b/hosts/cassini/uvis.py
index aff9754..e2a4a79 100755
--- a/hosts/cassini/uvis.py
+++ b/hosts/cassini/uvis.py
@@ -219,7 +219,7 @@ def get_one_qube(label, detector, resolution,
         if DEBUG:
             assert dband % band_bin == 0    # seen to fail occasionally
 
-        dband_binned = dband / band_bin
+        dband_binned = dband // band_bin
         shape = shape[:-1] + (dband_binned,)
 
         if array is not None:
@@ -232,7 +232,7 @@ def get_one_qube(label, detector, resolution,
     if lines == 1:
         obs = oops.obs.Pixel(('t','b'), cadence, fov, 'CASSINI', frame_id)
     else:
-        obs = oops.obs.TimedImage(('v','ut','b'), 1, cadence, fov,
+        obs = oops.obs.TimedImage(('v','ut','b'), cadence, fov,
                                   'CASSINI', frame_id)
 
     obs.insert_subfield('dict', label)
diff --git a/oops/observation/timedimage.py b/oops/observation/timedimage.py
index 2f9c34c..0f17a15 100755
--- a/oops/observation/timedimage.py
+++ b/oops/observation/timedimage.py
@@ -25,7 +25,7 @@ class TimedImage(Observation):
 
     #===========================================================================
     def __init__(self, axes, cadence, fov, path, frame, **subfields):
-        """Constructor for a Pushframe.
+        """Constructor for a TimedImage.
 
         Input:
             axes        a list or tuple of strings, with one value for each axis