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from builtins import str 

from builtins import zip 

import matplotlib 

matplotlib.use("Agg") 

import numpy as np 

import warnings 

import unittest 

from lsst.sims.maf.slicers.movieSlicer import MovieSlicer 

from lsst.sims.maf.slicers.uniSlicer import UniSlicer 

import lsst.utils.tests 

 

 

def makeTimes(size=100, min=0., max=10., random=-1): 

"""Generate a simple array of numbers, evenly arranged between min/max.""" 

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=[('times', 'float')]) 

return datavalues 

 

 

class TestMovieSlicerSetup(unittest.TestCase): 

 

def setUp(self): 

self.testslicer = MovieSlicer(sliceColName='times', cumulative=False, forceNoFfmpeg=True) 

 

def tearDown(self): 

del self.testslicer 

self.testslicer = None 

 

def testSlicertype(self): 

"""Test instantiation of slicer sets slicer type as expected.""" 

self.assertEqual(self.testslicer.slicerName, self.testslicer.__class__.__name__) 

self.assertEqual(self.testslicer.slicerName, 'MovieSlicer') 

 

def testSetupSlicerBins(self): 

"""Test setting up slicer using defined bins.""" 

dvmin = 0 

dvmax = 1 

nvalues = 1000 

bins = np.arange(dvmin, dvmax, 0.1) 

dv = makeTimes(nvalues, dvmin, dvmax, random=987) 

# Used right bins? 

self.testslicer = MovieSlicer(sliceColName='times', bins=bins, cumulative=False, forceNoFfmpeg=True) 

self.testslicer.setupSlicer(dv) 

np.testing.assert_equal(self.testslicer.bins, bins) 

self.assertEqual(self.testslicer.nslice, len(bins)-1) 

 

def testSetupSlicerBinsize(self): 

"""Test setting up slicer using binsize.""" 

dvmin = 0 

dvmax = 1 

dv = makeTimes(1000, dvmin, dvmax, random=1992) 

binsize = 0.1 

for cumulative in ([True, False]): 

self.testslicer = MovieSlicer(sliceColName='times', binsize=binsize, cumulative=cumulative, 

forceNoFfmpeg=True) 

self.testslicer.setupSlicer(dv) 

# Bins of the right size? 

bindiff = np.diff(self.testslicer.bins) 

self.assertAlmostEqual(bindiff.max(), binsize) 

self.assertAlmostEqual(bindiff.min(), binsize) 

# Test that warning works. 

with warnings.catch_warnings(record=True) as w: 

warnings.simplefilter("always") 

self.testslicer = MovieSlicer(sliceColName='times', bins=200, binsize=binsize, 

cumulative=False, forceNoFfmpeg=True) 

self.testslicer.setupSlicer(dv) 

# Verify some things 

self.assertIn("binsize", str(w[-1].message)) 

 

def testSetupSlicerNbinsZeros(self): 

"""Test what happens if give slicer test data that is all single-value.""" 

dv = np.zeros(100, float) 

dv = np.array(list(zip(dv)), dtype=[('times', 'float')]) 

nbins = 10 

self.testslicer = MovieSlicer(sliceColName='times', bins=nbins, cumulative=False, forceNoFfmpeg=True) 

with warnings.catch_warnings(record=True) as w: 

warnings.simplefilter("always") 

self.testslicer.setupSlicer(dv) 

self.assertIn("creasing binMax", str(w[-1].message)) 

self.assertEqual(self.testslicer.nslice, nbins) 

 

def testSetupSlicerLimits(self): 

"""Test setting up slicer using binMin/Max.""" 

binMin = 0 

binMax = 1 

nbins = 10 

dvmin = -.5 

dvmax = 1.5 

dv = makeTimes(1000, dvmin, dvmax, random=1772) 

self.testslicer = MovieSlicer(sliceColName='times', 

binMin=binMin, binMax=binMax, bins=nbins, 

cumulative=False, forceNoFfmpeg=True) 

self.testslicer.setupSlicer(dv) 

self.assertAlmostEqual(self.testslicer.bins.min(), binMin) 

self.assertAlmostEqual(self.testslicer.bins.max(), binMax) 

 

def testIndexing(self): 

"""Test iteration and indexing.""" 

dvmin = 0 

dvmax = 1 

bins = np.arange(dvmin, dvmax+0.05, 0.05) 

self.testslicer = MovieSlicer(sliceColName='times', bins=bins, 

cumulative=False, forceNoFfmpeg=True) 

dv = makeTimes(1000, dvmin, dvmax, random=908223) 

self.testslicer.setupSlicer(dv) 

for i, (s, b) in enumerate(zip(self.testslicer, bins)): 

self.assertEqual(s['slicePoint']['sid'], i) 

self.assertEqual(s['slicePoint']['binLeft'], b) 

self.assertLessEqual(s['slicePoint']['binRight'], bins[i+1]) 

for i in ([0, len(self.testslicer)//2, len(self.testslicer)-1]): 

self.assertEqual(self.testslicer[i]['slicePoint']['sid'], i) 

self.assertEqual(self.testslicer[i]['slicePoint']['binLeft'], bins[i]) 

 

def testEquivalence(self): 

"""Test equals method.""" 

# Note that two Movie slicers will be considered equal if they are both the same kind of 

# slicer AND have the same bins. 

# Set up self.. 

dvmin = 0 

dvmax = 1 

nvalues = 1000 

bins = np.arange(dvmin, dvmax, 0.01) 

dv = makeTimes(nvalues, dvmin, dvmax, random=72031) 

self.testslicer = MovieSlicer(sliceColName='times', bins=bins, cumulative=False, forceNoFfmpeg=True) 

self.testslicer.setupSlicer(dv) 

# Set up another slicer to match (same bins, although not the same data). 

dv2 = makeTimes(nvalues+100, dvmin, dvmax, random=56221) 

testslicer2 = MovieSlicer(sliceColName='times', bins=bins, cumulative=False, forceNoFfmpeg=True) 

testslicer2.setupSlicer(dv2) 

self.assertEqual(self.testslicer, testslicer2) 

# Set up another slicer that should not match (different bins) 

dv2 = makeTimes(nvalues, dvmin+1, dvmax+1, random=542093) 

testslicer2 = MovieSlicer(sliceColName='times', bins=len(bins), cumulative=False, forceNoFfmpeg=True) 

testslicer2.setupSlicer(dv2) 

self.assertNotEqual(self.testslicer, testslicer2) 

# Set up a different kind of slicer that should not match. 

dv2 = makeTimes(100, 0, 1, random=16) 

testslicer2 = UniSlicer() 

testslicer2.setupSlicer(dv2) 

self.assertNotEqual(self.testslicer, testslicer2) 

 

def testSlicing(self): 

"""Test slicing.""" 

dvmin = 0 

dvmax = 1 

nbins = 100 

# Test that testbinner raises appropriate error before it's set up (first time) 

self.assertRaises(NotImplementedError, self.testslicer._sliceSimData, 0) 

for nvalues in (100, 1000): 

dv = makeTimes(nvalues, dvmin, dvmax, random=82) 

# Test differential case. 

self.testslicer = MovieSlicer(sliceColName='times', bins=nbins, cumulative=False, 

forceNoFfmpeg=True) 

self.testslicer.setupSlicer(dv) 

sum = 0 

for i, s in enumerate(self.testslicer): 

idxs = s['idxs'] 

dataslice = dv['times'][idxs] 

sum += len(idxs) 

if len(dataslice) > 0: 

self.assertEqual(len(dataslice), nvalues/float(nbins)) 

else: 

raise ValueError('Data in test case expected to always be > 0 len after slicing') 

self.assertEqual(sum, nvalues) 

# And cumulative case. 

self.testslicer = MovieSlicer(sliceColName='times', bins=nbins, cumulative=True, 

forceNoFfmpeg=True) 

self.testslicer.setupSlicer(dv) 

for i, s in enumerate(self.testslicer): 

idxs = s['idxs'] 

dataslice = dv['times'][idxs] 

self.assertGreater(len(dataslice), 0) 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

190 ↛ 191line 190 didn't jump to line 191, because the condition on line 190 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()