Rename abstract_filter to band

lsst · Sep 23, 2020 · e845257 · e845257
1 parent 1ee0848
commit e845257
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Showing 2 changed files with 5 additions and 5 deletions.
diff --git a/python/lsst/ctrl/mpexec/examples/calexpToCoaddTask.py b/python/lsst/ctrl/mpexec/examples/calexpToCoaddTask.py
@@ -13,14 +13,14 @@
 
 
 class CalexpToCoaddTaskConnections(PipelineTaskConnections,
-                                   dimensions=("skymap", "tract", "patch", "abstract_filter")):
+                                   dimensions=("skymap", "tract", "patch", "band")):
     calexp = cT.Input(name="calexp",
                       dimensions=["instrument", "visit", "detector"],
                       multiple=True,
                       storageClass="ExposureF",
                       doc="DatasetType for the input image")
     coadd = cT.Output(name="deepCoadd_calexp",
-                      dimensions=["skymap", "tract", "patch", "abstract_filter"],
+                      dimensions=["skymap", "tract", "patch", "band"],
                       storageClass="ExposureF",
                       doc="DatasetType for the output image")
 

diff --git a/python/lsst/ctrl/mpexec/examples/patchSkyMapTask.py b/python/lsst/ctrl/mpexec/examples/patchSkyMapTask.py
@@ -11,17 +11,17 @@
 
 
 class PatchSkyMapTaskConnections(PipelineTaskConnections,
-                                 dimensions=("skymap", "tract", "patch", "abstract_filter")):
+                                 dimensions=("skymap", "tract", "patch", "band")):
     coadd = cT.Input(name="deepCoadd_calexp",
-                     dimensions=["skymap", "tract", "patch", "abstract_filter"],
+                     dimensions=["skymap", "tract", "patch", "band"],
                      storageClass="ExposureF",
                      doc="DatasetType for the input image")
     inputCatalog = cT.Input(name="deepCoadd_mergeDet",
                             dimensions=["skymap", "tract", "patch"],
                             storageClass="SourceCatalog",
                             doc="DatasetType for the input catalog (merged detections).")
     outputCatalog = cT.Output(name="deepCoadd_meas",
-                              dimensions=["skymap", "tract", "patch", "abstract_filter"],
+                              dimensions=["skymap", "tract", "patch", "band"],
                               storageClass="SourceCatalog",
                               doc=("DatasetType for the output catalog "
                                    "(deblended per-band measurements)"))