LSSTApplications  16.0-10-g0ee56ad,16.0-11-ga33d1f2+2,16.0-12-g3ef5c14+1,16.0-12-g71e5ef5+14,16.0-12-gbdf3636+2,16.0-13-g118c103+2,16.0-13-g8f68b0a,16.0-15-gbf5c1cb,16.0-16-gfd17674+2,16.0-17-g7c01f5c+2,16.0-18-g0a50484,16.0-20-ga20f992+3,16.0-21-g0e05fd4+2,16.0-21-g15e2d33,16.0-22-g62d8060,16.0-22-g847a80f,16.0-24-gfa57b64+1,16.0-28-g3990c221,16.0-3-gf928089+2,16.0-32-g88a4f23,16.0-34-gd7987ad,16.0-36-g6d07a18,16.0-4-g10fc685,16.0-4-g18f3627+24,16.0-4-g5f3a788+25,16.0-5-gaf5c3d7+1,16.0-5-gcc1f4bb,16.0-6-g3b92700,16.0-6-g4412fcd+2,16.0-6-g7235603+1,16.0-68-gb45e8e9d,16.0-7-g0913a87,16.0-7-g56728dd,16.0-8-g14ebd58,16.0-8-g2df868b,16.0-8-g4cec79c+1,16.0-81-g9604f5049,16.0-9-g5400cdc,16.0-9-ge6233d7+1,master-g2880f2d8cf+1,w.2019.05
LSSTDataManagementBasePackage
mockSelect.py
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1 #
2 # LSST Data Management System
3 # Copyright 2008, 2009, 2010, 2011, 2012 LSST Corporation.
4 #
5 # This product includes software developed by the
6 # LSST Project (http://www.lsst.org/).
7 #
8 # This program is free software: you can redistribute it and/or modify
9 # it under the terms of the GNU General Public License as published by
10 # the Free Software Foundation, either version 3 of the License, or
11 # (at your option) any later version.
12 #
13 # This program is distributed in the hope that it will be useful,
14 # but WITHOUT ANY WARRANTY; without even the implied warranty of
15 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
16 # GNU General Public License for more details.
17 #
18 # You should have received a copy of the LSST License Statement and
19 # the GNU General Public License along with this program. If not,
20 # see <http://www.lsstcorp.org/LegalNotices/>.
21 #
22 import lsst.pex.config
23 import lsst.afw.table
24 import lsst.pipe.base
25 
26 
28  """Simple select images task that just returns all the objects we simulated.
29  """
30 
31  ConfigClass = lsst.pex.config.Config
32 
33  def runDataRef(self, dataRef, coordList, makeDataRefList=True, selectDataList=[]):
34  observations = dataRef.butlerSubset.butler.get("observations", tract=dataRef.dataId["tract"])
35  assert(makeDataRefList) # this is all we make, so the user better want it
36  butler = dataRef.butlerSubset.butler
37  visitKey = observations.getSchema().find("visit").key
38  ccdKey = observations.getSchema().find("ccd").key
39  dataRefList = []
40  for record in observations:
41  dataId = {"visit": record.getI(visitKey), "ccd": record.getI(ccdKey)}
42  dataRefList.append(butler.dataRef(datasetType="calexp", dataId=dataId))
43  return lsst.pipe.base.Struct(dataRefList=dataRefList)
def runDataRef(self, dataRef, coordList, makeDataRefList=True, selectDataList=[])
Definition: mockSelect.py:33