finalize the targets by returning them to a more data-systems like da…

…ta model (no NaNs, IVARs)

py/desitarget/streams/targets.py

@@ -10,6 +10,7 @@
 
 from desitarget.targets import initial_priority_numobs, set_obsconditions, \
     encode_targetid
+from desitarget.streams.utilities import errors_to_ivars
 
 # ADM set up the DESI default logger.
 from desiutil.log import get_logger
@@ -109,6 +110,16 @@ def finalize(targets, desi_target, bgs_target, mws_target, scnd_target):
     # ADM set the OBSCONDITIONS.
     done["OBSCONDITIONS"] = set_obsconditions(done, scnd=True)
 
+    # ADM replace any NaNs with zeros.
+    for col in ["PHOT_G_MEAN_MAG", "PHOT_BP_MEAN_MAG", "PHOT_RP_MEAN_MAG",
+                "PARALLAX", "PMRA", "PMDEC"]:
+        ii = np.isnan(done[col])
+        done[col][ii] = 0.
+
+    # ADM change errors to IVARs.
+    done = errors_to_ivars(
+        done, colnames=["PARALLAX_ERROR", "PMRA_ERROR", "PMDEC_ERROR"])
+
     # ADM some final checks that the targets conform to expectations...
     # ADM check that each target has a unique ID.
     if len(done["TARGETID"]) != len(np.unique(done["TARGETID"])):