Coverage for python/lsst/obs/lsst/gen3/rawFormatter.py : 91%

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# This file is part of obs_lsst. # # Developed for the LSST Data Management System. # This product includes software developed by the LSST Project # (http://www.lsst.org). # See the COPYRIGHT file at the top-level directory of this distribution # for details of code ownership. # # 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 GNU General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
ImsimInstrument, PhosimInstrument, Ts8Instrument, \ Ts3Instrument, UcdCamInstrument, LsstComCamInstrument LsstUCDCamTranslator, LsstTS3Translator, LsstComCamTranslator, \ PhosimTranslator, LsstTS8Translator, ImsimTranslator
"""Read all header metadata directly into a PropertyList.
Specialist version since some of our data does not set INHERIT=T so we have to merge the headers manually.
Returns ------- metadata : `~lsst.daf.base.PropertyList` Header metadata. """ # Trust the inheritance flag return super().readMetadata()
# Merge ourselves mode="overwrite")
"""Read just the image component of the Exposure.
Returns ------- image : `~lsst.afw.image.Image` In-memory image component. """
"""Read the complete exposure.
This correctly fixes amplifier bounding box deviations from the camera definitions, and so should provide the safest interface to the data.
Parameters ---------- parameters : `dict`, optional No parameters are currently used.
Returns ------- exposure : `~lsst.afw.image.Exposure` Complete in-memory exposure representation.
"""
exposure.setMask(mask) exposure.setVariance(variance)
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