lsst.meas.base.tests.CentroidTransformTestCase Class Reference

Inheritance diagram for lsst.meas.base.tests.CentroidTransformTestCase:

Private Member Functions
def	_setFieldsInRecords
def	_compareFieldsInRecords

Additional Inherited Members
Public Member Functions inherited from lsst.meas.base.tests.TransformTestCase
def	setUp
def	tearDown
def	testTransform
def	testRegistration
Public Attributes inherited from lsst.meas.base.tests.TransformTestCase
	calexp
Static Public Attributes inherited from lsst.meas.base.tests.TransformTestCase
string	name = "MeasurementTransformTest"
	controlClass = None
	algorithmClass = None
	transformClass = None
tuple	flagNames = ("flag",)
tuple	singleFramePlugins = ()
tuple	forcedPlugins = ()

Detailed Description

Definition at line 716 of file tests.py.

Member Function Documentation

def lsst.meas.base.tests.CentroidTransformTestCase._compareFieldsInRecords (   self,   inSrc,   outSrc,   name  )

private

Definition at line 728 of file tests.py.

    def _compareFieldsInRecords(self, inSrc, outSrc, name):
        centroidResultKey = CentroidResultKey(inSrc.schema[self.name])
        centroidResult = centroidResultKey.get(inSrc)

        coord = lsst.afw.table.CoordKey(outSrc.schema[self.name]).get(outSrc)
        coordTruth = self.calexp.getWcs().pixelToSky(centroidResult.getCentroid())
        self.assertEqual(coordTruth, coord)

        # If the centroid has an associated uncertainty matrix, the coordinate
        # must have one too, and vice versa.
        try:
            coordErr = lsst.afw.table.CovarianceMatrix2fKey(outSrc.schema[self.name],
                                                            ["ra", "dec"]).get(outSrc)
        except lsst.pex.exceptions.NotFoundError:
            self.assertFalse(centroidResultKey.getCentroidErr().isValid())
        else:
            transform = self.calexp.getWcs().linearizePixelToSky(coordTruth, lsst.afw.geom.radians)
            coordErrTruth = numpy.dot(numpy.dot(transform.getLinear().getMatrix(),
                                                centroidResult.getCentroidErr()),
                                      transform.getLinear().getMatrix().transpose())
            numpy.testing.assert_array_almost_equal(numpy.array(coordErrTruth), coordErr)

def lsst.meas.base.tests.CentroidTransformTestCase._setFieldsInRecords (   self,   records,   name  )

private

Definition at line 717 of file tests.py.

    def _setFieldsInRecords(self, records, name):
        for record in records:
            record[record.schema.join(name, 'x')] = numpy.random.random()
            record[record.schema.join(name, 'y')] = numpy.random.random()
            # Some algorithms set no errors; some set only sigma on x & y; some provide
            # a full covariance matrix. Set only those which exist in the schema.
            for fieldSuffix in ('xSigma', 'ySigma', 'x_y_Cov'):
                fieldName = record.schema.join(name, fieldSuffix)
                if fieldName in record.schema:
                    record[fieldName] = numpy.random.random()