Coverage for python/lsst/obs/subaru/gen3/hsc/instrument.py : 47%

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# This file is part of obs_subaru. # # 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/>.
"""
# Regular expression that matches HSC PhysicalFilter names (the same as Gen2 # filternames), with a group that can be lowercased to yield the # associated AbstractFilter.
"""Gen3 Butler specialization class for Subaru's Hyper Suprime-Cam.
The current implementation simply retrieves the information it needs from a Gen2 HscMapper instance (the only constructor argument). This will obviously need to be changed before Gen2 is retired, but it avoids duplication for now. """
self.detectors = [ dict( detector=detector.getId(), name=detector.getName(), # getType() returns a pybind11-wrapped enum, which # unfortunately has no way to extract the name of just # the value (it's always prefixed by the enum type name). purpose=str(detector.getType()).split(".")[-1], # The most useful grouping of detectors in HSC is by their # orientation w.r.t. the focal plane, so that's what # we put in the 'group' field. group="NQUARTER{:d}".format(detector.getOrientation().getNQuarter() % 4) ) for detector in mapper.camera ] self.physicalFilters = [] for name in mapper.filters: # We use one of grizy for the abstract filter, when appropriate, # which we identify as when the physical filter starts with # "HSC-[GRIZY]". Note that this means that e.g. "HSC-I" and # "HSC-I2" are both mapped to abstract filter "i". m = FILTER_REGEX.match(name) self.physicalFilters.append( dict( physical_filter=name, abstract_filter=m.group(1).lower() if m is not None else None ) ) |