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# This file is part of meas_extensions_scarlet. 

# 

# Developed for the LSST Data Management System. 

# This product includes software developed by the LSST Project 

# (https://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 <https://www.gnu.org/licenses/>. 

 

import unittest 

 

import numpy as np 

 

import lsst.utils.tests 

import lsst.afw.image as afwImage 

from lsst.meas.algorithms import SourceDetectionTask 

from lsst.meas.extensions.scarlet.deblend import ScarletDeblendTask 

from lsst.afw.table import SourceCatalog 

 

 

from utils import initData 

 

 

class TestDeblend(lsst.utils.tests.TestCase): 

def test_deblend_task(self): 

# Set the random seed so that the noise field is unaffected 

np.random.seed(0) 

# Test that executing the deblend task works 

# In the future we can have more detailed tests, 

# but for now this at least ensures that the task isn't broken 

shape = (5, 31, 55) 

coords = [(15, 25), (10, 30), (17, 38)] 

amplitudes = [80, 60, 90] 

result = initData(shape, coords, amplitudes) 

targetPsfImage, psfImages, images, channels, seds, morphs, targetPsf, psfs = result 

B, Ny, Nx = shape 

 

# Add some noise, otherwise the task will blow up due to 

# zero variance 

noise = 10*(np.random.rand(*images.shape).astype(np.float32)-.5) 

images += noise 

 

filters = "grizy" 

_images = afwImage.MultibandMaskedImage.fromArrays(filters, images.astype(np.float32), None, noise) 

coadds = [afwImage.Exposure(img, dtype=img.image.array.dtype) for img in _images] 

coadds = afwImage.MultibandExposure.fromExposures(filters, coadds) 

for b, coadd in enumerate(coadds): 

coadd.setPsf(psfs[b]) 

 

schema = SourceCatalog.Table.makeMinimalSchema() 

 

detectionTask = SourceDetectionTask(schema=schema) 

config = ScarletDeblendTask.ConfigClass() 

config.maxIter = 300 

deblendTask = ScarletDeblendTask(schema=schema, config=config) 

 

table = SourceCatalog.Table.make(schema) 

detectionResult = detectionTask.run(table, coadds["r"]) 

catalog = detectionResult.sources 

self.assertEqual(len(catalog), 1) 

_, result = deblendTask.run(coadds, catalog) 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

84 ↛ 85line 84 didn't jump to line 85, because the condition on line 84 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()