Coverage for python/lsst/pipe/tasks/mocks/mockSelect.py : 33%

Hot-keys on this page
r m x p toggle line displays
j k next/prev highlighted chunk
0 (zero) top of page
1 (one) first highlighted chunk
# # LSST Data Management System # Copyright 2008, 2009, 2010, 2011, 2012 LSST Corporation. # # This product includes software developed by the # LSST Project (http://www.lsst.org/). # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the LSST License Statement and # the GNU General Public License along with this program. If not, # see <http://www.lsstcorp.org/LegalNotices/>. #
"""Simple select images task that just returns all the objects we simulated. """
observations = dataRef.butlerSubset.butler.get("observations", tract=dataRef.dataId["tract"]) assert(makeDataRefList) # this is all we make, so the user better want it butler = dataRef.butlerSubset.butler visitKey = observations.getSchema().find("visit").key ccdKey = observations.getSchema().find("ccd").key dataRefList = [] for record in observations: dataId = {"visit": record.getI(visitKey), "ccd": record.getI(ccdKey)} dataRefList.append(butler.dataRef(datasetType="calexp", dataId=dataId)) return lsst.pipe.base.Struct(dataRefList=dataRefList) |