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import numpy as np 

 

import unittest 

import lsst.utils.tests 

 

import lsst.afw.geom 

import lsst.jointcal.photometryMappings 

import lsst.jointcal.photometryTransfo 

import lsst.jointcal.star 

 

 

12 ↛ exit,   12 ↛ exit,   12 ↛ exit,   12 ↛ exit4 missed branches: 1) line 18 didn't finish the lambda on line 18, 2) line 17 didn't finish the lambda on line 17, 3) line 16 didn't finish the lambda on line 16, 4) line 15 didn't finish the lambda on line 15CHEBYSHEV_T = [ 

lambda x: 1, 

lambda x: x, 

lambda x: 2*x**2 - 1, 

lambda x: (4*x**2 - 3)*x, 

lambda x: (8*x**2 - 8)*x**2 + 1, 

lambda x: ((16*x**2 - 20)*x**2 + 5)*x, 

] 

 

 

class PhotometryMappingTestBase: 

def setUp(self): 

self.instFlux = 5.0 

self.instFluxErr = 2.0 

 

baseStar0 = lsst.jointcal.star.BaseStar(0, 0, 1, 2) 

self.star0 = lsst.jointcal.star.MeasuredStar(baseStar0) 

baseStar1 = lsst.jointcal.star.BaseStar(1, 2, 3, 4) 

self.star1 = lsst.jointcal.star.MeasuredStar(baseStar1) 

self.star1.setXFocal(2) 

self.star1.setYFocal(3) 

 

 

class PhotometryMappingTestCase(PhotometryMappingTestBase, lsst.utils.tests.TestCase): 

def setUp(self): 

super(PhotometryMappingTestCase, self).setUp() 

self.scale = 3 

transfo = lsst.jointcal.photometryTransfo.PhotometryTransfoSpatiallyInvariant(self.scale) 

self.mapping = lsst.jointcal.photometryMappings.PhotometryMapping(transfo) 

 

def test_getNpar(self): 

result = self.mapping.getNpar() 

self.assertEqual(result, 1) 

 

def _test_offsetParams(self, delta, expect): 

self.mapping.offsetParams(delta) 

self.assertFloatsAlmostEqual(expect, self.mapping.getTransfo().getParameters()) 

 

def test_transformFlux(self): 

result = self.mapping.transform(self.star0, self.instFlux) 

self.assertEqual(result, self.instFlux*self.scale) 

 

def test_offsetParams(self): 

"""Test offsetting; note that offsetParams offsets by `-delta`.""" 

delta = np.array(0.0) 

self._test_offsetParams(delta, np.array(self.scale)) 

delta -= 1 

self._test_offsetParams(delta, self.scale-delta) 

 

def test_computeParameterDerivatives(self): 

"""Test that the derivative of a spatially invariant transform is always the same.""" 

result = self.mapping.computeParameterDerivatives(self.star0, self.instFlux) 

self.assertEqual(self.instFlux, result) 

result = self.mapping.computeParameterDerivatives(self.star1, self.instFlux) 

self.assertEqual(self.instFlux, result) 

transfo = lsst.jointcal.photometryTransfo.PhotometryTransfoSpatiallyInvariant(1000.0) 

mapping = lsst.jointcal.photometryMappings.PhotometryMapping(transfo) 

result = mapping.computeParameterDerivatives(self.star0, self.instFlux) 

self.assertEqual(self.instFlux, result) 

 

def test_getMappingIndices(self): 

"""A mapping with one invariant transfo has one index""" 

self.mapping.setIndex(5) 

result = self.mapping.getMappingIndices() 

self.assertEqual(result, [5]) 

 

 

class ChipVisitPhotometryMappingTestCase(PhotometryMappingTestBase, lsst.utils.tests.TestCase): 

def setUp(self): 

super(ChipVisitPhotometryMappingTestCase, self).setUp() 

self.bbox = lsst.afw.geom.Box2D(lsst.afw.geom.Point2D(-5, -6), lsst.afw.geom.Point2D(7, 8)) 

self.order = 1 

self.coefficients = np.array([[5, 2], [3, 0]], dtype=float) 

self.chipScale = 2 

self.visitScale = 3 

self.chipIndex = 5 

self.visitIndex = 1000 

chipTransfo = lsst.jointcal.photometryTransfo.PhotometryTransfoSpatiallyInvariant(self.chipScale) 

chipMapping = lsst.jointcal.photometryMappings.PhotometryMapping(chipTransfo) 

chipMapping.setIndex(self.chipIndex) 

visitTransfo = lsst.jointcal.photometryTransfo.PhotometryTransfoSpatiallyInvariant(self.visitScale) 

visitMapping = lsst.jointcal.photometryMappings.PhotometryMapping(visitTransfo) 

visitMapping.setIndex(self.visitIndex) 

self.mappingInvariants = lsst.jointcal.photometryMappings.ChipVisitPhotometryMapping(chipMapping, 

visitMapping) 

 

# Have to make a new chipMapping, as it stores shared_ptr to the transfo. 

chipTransfo = lsst.jointcal.photometryTransfo.PhotometryTransfoSpatiallyInvariant(self.chipScale) 

chipMapping = lsst.jointcal.photometryMappings.PhotometryMapping(chipTransfo) 

chipMapping.setIndex(self.chipIndex) 

visitTransfo2 = lsst.jointcal.photometryTransfo.PhotometryTransfoChebyshev(self.coefficients, 

self.bbox) 

visitMapping2 = lsst.jointcal.photometryMappings.PhotometryMapping(visitTransfo2) 

visitMapping2.setIndex(self.visitIndex) 

self.mappingCheby = lsst.jointcal.photometryMappings.ChipVisitPhotometryMapping(chipMapping, 

visitMapping2) 

 

def test_getNpar(self): 

result = self.mappingInvariants.getNpar() 

self.assertEqual(result, 2) 

# order 1 implies 3 parameters, plus one for the chip mapping 

result = self.mappingCheby.getNpar() 

self.assertEqual(result, 4) 

 

def _evaluate_chebyshev(self, x, y): 

"""Evaluate the chebyshev defined by self.coefficients at (x,y)""" 

# sx, sy: transform from self.bbox range to [-1, -1] 

cx = (self.bbox.getMinX() + self.bbox.getMaxX())/2.0 

cy = (self.bbox.getMinY() + self.bbox.getMaxY())/2.0 

sx = 2.0 / self.bbox.getWidth() 

sy = 2.0 / self.bbox.getHeight() 

result = 0 

for j in range(self.order+1): 

Ty = CHEBYSHEV_T[j](sy*(y - cy)) 

for i in range(0, self.order-j+1): 

Tx = CHEBYSHEV_T[i](sx*(x - cx)) 

result += self.coefficients[j, i]*Tx*Ty 

return result 

 

def test_transformFlux(self): 

result = self.mappingInvariants.transform(self.star0, self.instFlux) 

self.assertEqual(result, self.instFlux*self.chipScale*self.visitScale) 

 

result = self.mappingCheby.transform(self.star0, self.instFlux) 

expect = self.instFlux*self.chipScale*self._evaluate_chebyshev(self.star0.getXFocal(), 

self.star0.getYFocal()) 

self.assertEqual(result, expect) 

 

result = self.mappingCheby.transform(self.star1, self.instFlux) 

expect = self.instFlux*self.chipScale*self._evaluate_chebyshev(self.star1.getXFocal(), 

self.star1.getYFocal()) 

self.assertEqual(result, expect) 

 

def test_offsetParams(self): 

"""Test offsetting; note that offsetParams offsets by `-delta`.""" 

delta = np.array([1, 2], dtype=float) 

expect = np.array([self.chipScale-1, self.visitScale-2]) 

self.mappingInvariants.offsetParams(delta) 

self.assertFloatsAlmostEqual(expect, self.mappingInvariants.getParameters()) 

 

# order 1 means 3 parameters, so 4 total w/chipTransfo 

delta = np.zeros(4, dtype=float) 

expect = np.zeros(4, dtype=float) 

delta[0] = 1 

delta[1] = -2 

delta[2] = 3 

delta[3] = -5 

expect[0] = self.chipScale - delta[0] 

expect[1] = self.coefficients[0, 0] - delta[1] 

expect[2] = self.coefficients[0, 1] - delta[2] 

expect[3] = self.coefficients[1, 0] - delta[3] 

# coeff[1,1] is unused in a order 1 Chebyshev (it would be a 2nd order component) 

self.mappingCheby.offsetParams(delta) 

self.assertFloatsAlmostEqual(self.mappingCheby.getParameters(), expect) 

 

def test_computeParameterDerivatives(self): 

result = self.mappingInvariants.computeParameterDerivatives(self.star0, self.instFlux) 

expect = np.array([self.instFlux*self.visitScale, self.instFlux*self.chipScale]) 

self.assertFloatsAlmostEqual(result, expect) 

 

cx = (self.bbox.getMinX() + self.bbox.getMaxX())/2.0 

cy = (self.bbox.getMinY() + self.bbox.getMaxY())/2.0 

sx = 2.0 / self.bbox.getWidth() 

sy = 2.0 / self.bbox.getHeight() 

Tx = np.array([CHEBYSHEV_T[i](sx*(self.star1.getXFocal() - cx)) 

for i in range(self.order+1)], dtype=float) 

Ty = np.array([CHEBYSHEV_T[i](sy*(self.star1.getYFocal() - cy)) 

for i in range(self.order+1)], dtype=float) 

expect = [self.instFlux*self._evaluate_chebyshev(self.star1.getXFocal(), self.star1.getYFocal()), ] 

for j in range(len(Ty)): 

for i in range(0, self.order-j+1): 

expect.append(Ty[j]*Tx[i]*self.instFlux*self.chipScale) 

result = self.mappingCheby.computeParameterDerivatives(self.star1, self.instFlux) 

self.assertFloatsAlmostEqual(np.array(expect), result) 

 

def test_getMappingIndices(self): 

"""There are npar indices in a constrained mapping.""" 

expect = [self.chipIndex, self.visitIndex] 

result = self.mappingInvariants.getMappingIndices() 

self.assertEqual(result, expect) 

 

# npar - 1 because the chip mapping has the 1st parameter 

expect = [self.chipIndex, ] + list(range(self.visitIndex, 

self.visitIndex + self.mappingCheby.getNpar() - 1)) 

result = self.mappingCheby.getMappingIndices() 

self.assertEqual(result, expect) 

 

 

class MemoryTester(lsst.utils.tests.MemoryTestCase): 

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

208 ↛ 209line 208 didn't jump to line 209, because the condition on line 208 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()