def testRunRegularToo(self):
"""
Test that a binned slicer and a regular slicer can run together
"""
bundleList = []
metric = metrics.AccumulateM5Metric(bins=[0.5, 1.5, 2.5])
slicer = slicers.HealpixSlicer(nside=16)
sql = ''
bundleList.append(metricBundle.MetricBundle(metric, slicer, sql))
metric = metrics.Coaddm5Metric()
slicer = slicers.HealpixSlicer(nside=16)
bundleList.append(metricBundle.MetricBundle(metric, slicer, sql))
bd = metricBundle.makeBundlesDictFromList(bundleList)
mbg = metricBundle.MetricBundleGroup(bd, None, saveEarly=False)
mbg.setCurrent('')
mbg.runCurrent('', simData=self.simData)
assert (np.array_equal(bundleList[0].metricValues[:, 1].compressed(),
bundleList[1].metricValues.compressed()))
def testAccumulateM5Metric(self):
metric = metrics.AccumulateM5Metric(bins=[0.5, 1.5, 2.5])
slicer = slicers.HealpixSlicer(nside=16)
sql = ''
mb = metricBundle.MetricBundle(metric, slicer, sql)
mbg = metricBundle.MetricBundleGroup({0: mb}, None, saveEarly=False)
mbg.setCurrent('')
mbg.runCurrent('', simData=self.simData)
good = np.where(mb.metricValues.mask[:, -1] == False)[0]
checkMetric = metrics.Coaddm5Metric()
tempSlice = np.zeros(self.n1, dtype=zip(['fiveSigmaDepth'], [float]))
tempSlice['fiveSigmaDepth'] += self.m5_1
val1 = checkMetric.run(tempSlice)
tempSlice = np.zeros(self.n2, dtype=zip(['fiveSigmaDepth'], [float]))
tempSlice['fiveSigmaDepth'] += self.m5_2
val2 = checkMetric.run(tempSlice)
expected = np.array([[val1, val1], [-666., val2]])
assert (np.array_equal(mb.metricValues.data[good, :], expected))