def test_TierStats(self):
t = TierStats( self.tier )
ds = t.ds()
occurrences = ds.len()
self.assertEqual(3, occurrences['toto'])
self.assertEqual(1, occurrences['titi'])
total = ds.total()
self.assertEqual(5.5, total['toto'])
self.assertEqual(1.0, total['titi'])
mean = ds.mean()
self.assertEqual(1.833, round(mean['toto'],3))
self.assertEqual(1.0, mean['titi'])
median = ds.median()
self.assertEqual(1.5, median['toto'])
self.assertEqual(1.0, median['titi'])
variance = ds.variance()
self.assertEqual(1.083, round(variance['toto'],3))
stdev = ds.stdev()
self.assertEqual(1.041, round(stdev['toto'],3))
coefvariation = ds.coefvariation()
self.assertEqual(56.773, round(coefvariation['toto'],3))
trsinput = annotationdata.io.read(trs)
if tieridx < 0 or tieridx > trsinput.GetSize():
print 'Error: Bad tier number.\n'
sys.exit(1)
tier = trsinput[tieridx]
if tiername is None:
tiername = tier.GetName().replace (' ','_')
tiers.append( tier )
# ----------------------------------------------------------------------------
# Estimates stats
t = TierStats( tiers )
t.set_ngram( ngram )
ds = t.ds()
title = [ "filename", "tier", "annotation label" ]
stats = {} # used just to get the list of keys
if 0 in mode or 1 in mode:
occurrences = ds.len()
title.append('occurrences')
stats = occurrences
if 0 in mode or 2 in mode:
total = ds.total()
title.append('total duration')
if not stats: stats = total
if 0 in mode or 3 in mode:
mean = ds.mean()
