Coverage for tests/test_Jacobian.py : 93%

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# # LSST Data Management System # Copyright 2008-2017 AURA/LSST. # # 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/>. #
# Pick arbitrary numbers to create a detector object, and a synthetic # dataset. The particular numbers have no special meaning to the test # and be anything as long as they are self consistent (i.e. the # fake source is inside the bounding box) lsst.geom.Extent2I(140, 160))
("EQUINOX", 2000.0), ("CRPIX1", 5353.0), ("CRPIX2", -35.0), ("CD1_1", 0.0), ("CD1_2", -5.611E-05), ("CD2_1", -5.611E-05), ("CD2_2", -0.0), ("CRVAL1", 4.5789875), ("CRVAL2", 16.30004444), ("CUNIT1", 'deg'), ("CUNIT2", 'deg'), ("CTYPE1", 'RA---TAN'), ("CTYPE2", 'DEC--TAN'), ):
# Pixel scale chosen to approximately match the scale defined in the above WCS
lsst.utils.tests.init() unittest.main() |