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import numpy as np 

 

import unittest 

import lsst.utils.tests 

 

import lsst.afw.geom 

from lsst.jointcal import photometryTransfo 

 

 

10 ↛ exit,   10 ↛ exit,   10 ↛ exit3 missed branches: 1) line 16 didn't finish the lambda on line 16, 2) line 15 didn't finish the lambda on line 15, 3) line 14 didn't finish the lambda on line 14CHEBYSHEV_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 PhotometryTransfoTestBase: 

def setUp(self): 

self.value = 5.0 

self.valueError = 0.3 

self.point = [1., 5.] 

 

 

class SpatiallyInvariantTestBase(PhotometryTransfoTestBase): 

"""Tests for PhotometryTransfoSpatiallyInvariant. 

Subclasses need to call setUp to define: 

self.transfo1 == a default initalized PhotometryTransfoSpatiallyInvariant. 

self.transfo2 == a transfo initialized with self.t2InitValue. 

""" 

def setUp(self): 

super().setUp() 

# initial values for self.transfo2 

self.t2InitValue = 1000.0 

self.t2InitError = 70.0 

 

def _test_transform(self, transfo, expect): 

result = transfo.transform(self.point[0], self.point[1], self.value) 

self.assertEqual(result, expect) # yes, I really mean exactly equal 

 

def _test_transformError(self, transfo, expect): 

result = transfo.transformError(self.point[0], self.point[1], self.value, self.valueError) 

self.assertFloatsAlmostEqual(result, expect) 

 

def _offsetParams(self, delta, value, expect): 

self.transfo1.offsetParams(delta) 

result = self.transfo1.transform(self.point[0], self.point[1], value) 

self.assertFloatsAlmostEqual(result, expect) 

 

def _test_offsetParams(self, expect): 

"""Test offsetting; note that offsetParams offsets by +1.""" 

# check that offset by 0 doesn't change anything. 

delta = np.zeros(1, dtype=float) 

self._offsetParams(delta, self.value, self.value) 

 

# offset by +1 should result in `expect` 

delta -= 1 

self._offsetParams(delta, self.value, expect) 

 

def test_clone(self): 

clone1 = self.transfo1.clone() 

self.assertEqual(self.transfo1.getParameters(), clone1.getParameters()) 

clone2 = self.transfo2.clone() 

self.assertEqual(self.transfo2.getParameters(), clone2.getParameters()) 

self.assertNotEqual(clone1.getParameters(), clone2.getParameters()) 

 

def _test_computeParameterDerivatives(self, expect): 

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

Should be indepdendent of position 

""" 

result = self.transfo1.computeParameterDerivatives(1, 2, self.value) 

self.assertEqual(expect, result) 

result = self.transfo1.computeParameterDerivatives(-5, -100, self.value) 

self.assertEqual(expect, result) 

result = self.transfo2.computeParameterDerivatives(-1000, 150, self.value) 

self.assertEqual(expect, result) 

 

 

class FluxTransfoSpatiallyInvariantTestCase(SpatiallyInvariantTestBase, lsst.utils.tests.TestCase): 

def setUp(self): 

super().setUp() 

self.transfo1 = photometryTransfo.FluxTransfoSpatiallyInvariant() 

self.transfo2 = photometryTransfo.FluxTransfoSpatiallyInvariant(self.t2InitValue) 

 

def test_transform(self): 

self._test_transform(self.transfo1, self.value) 

self._test_transform(self.transfo2, self.value*self.t2InitValue) 

 

def test_transformError(self): 

expect = (self.valueError*1) 

self._test_transformError(self.transfo1, expect) 

expect = (self.valueError*self.t2InitValue) 

self._test_transformError(self.transfo2, expect) 

 

def test_offsetParams(self): 

"""Offset by +1 means transform by 2.""" 

self._test_offsetParams(self.value*2) 

 

def test_computeParameterDerivatives(self): 

"""Should be indepdendent of position, and equal to the flux.""" 

self._test_computeParameterDerivatives(self.value) 

 

 

class MagnitudeTransfoSpatiallyInvariantTestCase(SpatiallyInvariantTestBase, lsst.utils.tests.TestCase): 

def setUp(self): 

super().setUp() 

self.transfo1 = photometryTransfo.MagnitudeTransfoSpatiallyInvariant() 

self.transfo2 = photometryTransfo.MagnitudeTransfoSpatiallyInvariant(self.t2InitValue) 

 

def test_transform(self): 

self._test_transform(self.transfo1, self.value) 

self._test_transform(self.transfo2, self.value + self.t2InitValue) 

 

def test_transformError(self): 

expect = self.valueError 

self._test_transformError(self.transfo1, expect) 

expect = self.valueError 

self._test_transformError(self.transfo2, expect) 

 

def test_offsetParams(self): 

"""Offset by +1 means transform by +1.""" 

self._test_offsetParams(self.value + 1) 

 

def test_computeParameterDerivatives(self): 

"""Should always be identically 1.""" 

self._test_computeParameterDerivatives(1.0) 

 

 

class PhotometryTransfoChebyshevTestCase(PhotometryTransfoTestBase, lsst.utils.tests.TestCase): 

def setUp(self): 

super().setUp() 

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

self.order1 = 2 

self.transfo1 = photometryTransfo.PhotometryTransfoChebyshev(self.order1, self.bbox) 

self.order2 = 1 

self.coefficients = np.array([[5, 3], [4, 0]], dtype=float) 

self.transfo2 = photometryTransfo.PhotometryTransfoChebyshev(self.coefficients, self.bbox) 

 

def test_getNpar(self): 

self.assertEqual(self.transfo1.getNpar(), 6) 

self.assertEqual(self.transfo2.getNpar(), 3) 

 

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 

order = len(self.coefficients) 

for j in range(order): 

for i in range(0, order-j): 

Tx = CHEBYSHEV_T[i](sx*(x - cx)) 

Ty = CHEBYSHEV_T[j](sy*(y - cy)) 

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

return result 

 

def test_transform(self): 

result = self.transfo1.transform(self.point[0], self.point[1], self.value) 

self.assertEqual(result, self.value) # transfo1 is the identity 

 

result = self.transfo2.transform(self.point[0], self.point[1], self.value) 

expect = self.value*self._evaluate_chebyshev(self.point[0], self.point[1]) 

self.assertEqual(result, expect) 

 

def test_offsetParams(self): 

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

delta = np.zeros(self.transfo1.getNpar(), dtype=float) 

expect = np.zeros((self.order1+1, self.order1+1), dtype=float) 

expect[0, 0] = 1 

self.transfo1.offsetParams(delta) 

# nothing should have changed if we transform a delta of 0 

self.assertFloatsAlmostEqual(expect, self.transfo1.getCoefficients()) 

 

delta[0] = 1 

delta[1] = -2 

delta[2] = -3 

delta[3] = -4 

delta[4] = -5 

delta[5] = -6 

expect[0, 0] = 0 

expect[0, 1] = 2 

expect[0, 2] = 3 

expect[1, 0] = 4 

expect[1, 1] = 5 

expect[2, 0] = 6 

self.transfo1.offsetParams(delta) 

self.assertFloatsAlmostEqual(expect, self.transfo1.getCoefficients()) 

 

def test_clone(self): 

clone1 = self.transfo1.clone() 

self.assertFloatsEqual(self.transfo1.getParameters(), clone1.getParameters()) 

self.assertEqual(self.transfo1.getOrder(), clone1.getOrder()) 

self.assertEqual(self.transfo1.getBBox(), clone1.getBBox()) 

clone2 = self.transfo2.clone() 

self.assertFloatsEqual(self.transfo2.getParameters(), clone2.getParameters()) 

self.assertEqual(self.transfo2.getOrder(), clone2.getOrder()) 

self.assertEqual(self.transfo2.getBBox(), clone2.getBBox()) 

 

def test_computeParameterDerivatives(self): 

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 = self.transfo1.computeParameterDerivatives(self.point[0], self.point[1], self.value) 

Tx = np.array([CHEBYSHEV_T[i](sx*(self.point[0] - cx)) for i in range(self.order1+1)], dtype=float) 

Ty = np.array([CHEBYSHEV_T[i](sy*(self.point[1] - cy)) for i in range(self.order1+1)], dtype=float) 

expect = [] 

for j in range(len(Ty)): 

for i in range(0, self.order1-j+1): 

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

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

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

226 ↛ 227line 226 didn't jump to line 227, because the condition on line 226 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()