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from builtins import zip 

import numpy as np 

import numpy.ma as ma 

import unittest 

import json 

import matplotlib 

matplotlib.use("Agg") 

import lsst.sims.maf.slicers as slicers 

import lsst.utils.tests 

 

 

def makeDataValues(size=100, min=0., max=1., random=-1): 

"""Generate a simple array of numbers, evenly arranged between min/max, but (optional) random order.""" 

datavalues = np.arange(0, size, dtype='float') 

datavalues *= (float(max) - float(min)) / (datavalues.max() - datavalues.min()) 

datavalues += min 

if random > 0: 

rng = np.random.RandomState(random) 

randorder = rng.rand(size) 

randind = np.argsort(randorder) 

datavalues = datavalues[randind] 

datavalues = np.array(list(zip(datavalues)), dtype=[('testdata', 'float')]) 

return datavalues 

 

 

def makeMetricData(slicer, dtype='float', seed=8800): 

rng = np.random.RandomState(seed) 

metricValues = rng.rand(len(slicer)).astype(dtype) 

metricValues = ma.MaskedArray(data=metricValues, 

mask=np.zeros(len(slicer), 'bool'), 

fill_value=slicer.badval) 

return metricValues 

 

 

def makeFieldData(): 

"""Set up sample field data.""" 

# These are a subset of the fields from opsim. 

fieldId = [2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010] 

ra_rad = [1.4961071750760884, 4.009380232682723, 2.2738050744968632, 

2.7527439701957053, 6.043715459855715, 

0.23946974745438585, 3.4768050063149119, 2.8063803008646744, 4.0630173623005916, 

2.2201678117208452] 

dec_rad = [-0.25205231807872636, -0.25205228478831621, -0.25205228478831621, 

-0.25205228478831621, -0.25205145255075168, 

-0.25205145255075168, -0.24630904473998308, -0.24630904473998308, 

-0.24630894487049795, -0.24630894487049795] 

fieldId = np.array(fieldId, 'int') 

ra_rad = np.array(ra_rad, 'float') 

dec_rad = np.array(dec_rad, 'float') 

fieldData = np.core.records.fromarrays([fieldId, ra_rad, dec_rad], 

names=['fieldId', 'fieldRA', 'fieldDec']) 

return fieldData 

 

 

def makeOpsimDataValues(fieldData, size=10000, min=0., max=1., random=88): 

"""Generate a simple array of numbers, evenly arranged between min/max, but (optional) random order.""" 

datavalues = np.arange(0, size, dtype='float') 

datavalues *= (float(max) - float(min)) / (datavalues.max() - datavalues.min()) 

datavalues += min 

rng = np.random.RandomState(random) 

randorder = rng.rand(size) 

randind = np.argsort(randorder) 

datavalues = datavalues[randind] 

# Add valid fieldId values to match data values 

fieldId = np.zeros(len(datavalues), 'int') 

idxs = rng.rand(size) * len(fieldData['fieldId']) 

for i, d in enumerate(datavalues): 

fieldId[i] = fieldData[int(idxs[i])][0] 

simData = np.core.records.fromarrays([fieldId, datavalues], names=['fieldId', 'testdata']) 

return simData 

 

 

class TestJSONoutUniSlicer(unittest.TestCase): 

 

def setUp(self): 

self.testslicer = slicers.UniSlicer() 

 

def tearDown(self): 

del self.testslicer 

 

@unittest.skip("13 March 2017--Skipping to clear python 3 update. Probably string unicode issues.") 

def test(self): 

metricVal = makeMetricData(self.testslicer, 'float', seed=88102231) 

io = self.testslicer.outputJSON(metricVal, metricName='testMetric', 

simDataName='testSim', metadata='testmeta') 

jsn = json.loads(io.getvalue()) 

jsn_header = jsn[0] 

jsn_data = jsn[1] 

self.assertEqual(jsn_header['metricName'], 'testMetric') 

self.assertEqual(jsn_header['simDataName'], 'testSim') 

self.assertEqual(jsn_header['metadata'], 'testmeta') 

self.assertEqual(jsn_header['slicerName'], 'UniSlicer') 

self.assertEqual(jsn_header['slicerLen'], 1) 

self.assertEqual(len(jsn_data), 1) 

 

 

class TestJSONoutOneDSlicer2(unittest.TestCase): 

 

def setUp(self): 

# Set up a slicer and some metric data for that slicer. 

dv = makeDataValues(1000, random=40082) 

self.testslicer = slicers.OneDSlicer(sliceColName='testdata') 

self.testslicer.setupSlicer(dv) 

 

def tearDown(self): 

del self.testslicer 

 

@unittest.skip("13 March 2017--Skipping to clear python 3 update. Probably string unicode issues.") 

def test(self): 

metricVal = makeMetricData(self.testslicer, 'float', seed=18) 

io = self.testslicer.outputJSON(metricVal) 

jsn = json.loads(io.getvalue()) 

jsn_header = jsn[0] 

jsn_data = jsn[1] 

self.assertEqual(jsn_header['slicerName'], 'OneDSlicer') 

self.assertEqual(jsn_header['slicerLen'], len(self.testslicer)) 

self.assertEqual(len(jsn_data), len(metricVal)+1) 

for jsndat, binleft, mval in zip(jsn_data, self.testslicer.slicePoints['bins'], metricVal.data): 

self.assertEqual(jsndat[0], binleft) 

self.assertEqual(jsndat[1], mval) 

 

 

class TestJSONoutHealpixSlicer(unittest.TestCase): 

 

def setUp(self): 

# Set up a slicer and some metric data for that slicer. 

self.testslicer = slicers.HealpixSlicer(nside=4, verbose=False) 

 

def tearDown(self): 

del self.testslicer 

 

@unittest.skip("13 March 2017--Skipping to clear python 3 update. Probably string unicode issues.") 

def test(self): 

metricVal = makeMetricData(self.testslicer, 'float', seed=452) 

io = self.testslicer.outputJSON(metricVal) 

jsn = json.loads(io.getvalue()) 

jsn_header = jsn[0] 

jsn_data = jsn[1] 

self.assertEqual(jsn_header['slicerName'], 'HealpixSlicer') 

self.assertEqual(jsn_header['slicerLen'], len(self.testslicer)) 

self.assertEqual(len(jsn_data), len(metricVal)) 

for jsndat, ra, dec, mval in zip(jsn_data, self.testslicer.slicePoints['ra'], 

self.testslicer.slicePoints['dec'], metricVal.data): 

self.assertAlmostEqual(jsndat[0], ra/np.pi*180.) 

self.assertAlmostEqual(jsndat[1], dec/np.pi*180.) 

self.assertEqual(jsndat[2], mval) 

 

 

class TestJSONoutOpsimFieldSlicer(unittest.TestCase): 

 

def setUp(self): 

# Set up a slicer and some metric data for that slicer. 

self.testslicer = slicers.OpsimFieldSlicer() 

self.fieldData = makeFieldData() 

self.simData = makeOpsimDataValues(self.fieldData, random=7162) 

self.testslicer.setupSlicer(self.simData, self.fieldData) 

 

def tearDown(self): 

del self.testslicer 

 

@unittest.skip("13 March 2017--Skipping to clear python 3 update. Probably string unicode issues.") 

def test(self): 

metricVal = makeMetricData(self.testslicer, 'float', seed=334) 

io = self.testslicer.outputJSON(metricVal) 

jsn = json.loads(io.getvalue()) 

jsn_header = jsn[0] 

jsn_data = jsn[1] 

self.assertEqual(jsn_header['slicerName'], 'OpsimFieldSlicer') 

self.assertEqual(jsn_header['slicerLen'], len(self.testslicer)) 

self.assertEqual(len(jsn_data), len(metricVal)) 

for jsndat, ra, dec, mval in zip(jsn_data, self.testslicer.slicePoints['ra'], 

self.testslicer.slicePoints['dec'], metricVal.data): 

self.assertAlmostEqual(jsndat[0], ra/np.pi*180.) 

self.assertAlmostEqual(jsndat[1], dec/np.pi*180.) 

self.assertEqual(jsndat[2], mval) 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

186 ↛ 187line 186 didn't jump to line 187, because the condition on line 186 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()