def test_TierStats(self):
tier = Tier()
tier.Append( Annotation(TimeInterval(TimePoint(0,0.), TimePoint(1,0.0)), Label('#')) )
tier.Append( Annotation(TimeInterval(TimePoint(1,0.), TimePoint(2,0.01)), Label('toto')) )
tier.Append( Annotation(TimeInterval(TimePoint(3,0.01), TimePoint(4, 0.01 )), Label('titi')) )
tier.Append( Annotation(TimeInterval(TimePoint(4,0.01), TimePoint(5, 0.01 )), Label('#')) )
tier.Append( Annotation(TimeInterval(TimePoint(5,0.01), TimePoint(6.5,0.005)), Label('toto')) )
tier.Append( Annotation(TimeInterval(TimePoint(6.5,0.005), TimePoint(9.5,0.)), Label('toto')) )
t = TierTGA( tier )
tga = t.tga()
occurrences = tga.len()
self.assertEqual(2, occurrences['tg_1'])
self.assertEqual(2, occurrences['tg_2'])
total = tga.total()
self.assertEqual(2.0, total['tg_1'])
self.assertEqual(4.5, total['tg_2'])
mean = tga.mean()
self.assertEqual(1.0, mean['tg_1'])
self.assertEqual(2.25, mean['tg_2'])
def testTGA(self):
# This is one of the samples proposed in-line by Dafydd
path = os.path.join(SAMPLES,"tga.TextGrid")
trs = annotationdata.io.read(path)
tier = trs.Find('Syllables')
t = TierTGA( tier )
t.append_separator('_')
tga = t.tga()
occurrences = tga.len()
self.assertEqual(34, len(occurrences))
total = tga.total()
mean = tga.mean()
median = tga.median()
stdev = tga.stdev()
npvi = tga.nPVI()
reglin = tga.intercept_slope_original()
self.assertEqual(3, occurrences['tg_1'])
self.assertEqual(0.57, round(total['tg_1'],2))
self.assertEqual(0.19, round(mean['tg_1'],2))
self.assertEqual(0.14, round(median['tg_1'],2))
self.assertEqual(0.13928, round(stdev['tg_1'],5))
self.assertEqual(94, round(npvi['tg_1'],0))
i,s = reglin['tg_1']
self.assertEqual(0.025, round(i,3))
self.assertEqual(0.165, round(s,3))
self.assertEqual(4, occurrences['tg_33'])
self.assertEqual(0.78, round(total['tg_33'],2))
self.assertEqual(0.195, round(mean['tg_33'],3))
self.assertEqual(0.06062, round(stdev['tg_33'],5))
self.assertEqual(53, round(npvi['tg_33'],0))
i,s = reglin['tg_33']
self.assertEqual(0.156, round(i,3))
self.assertEqual(0.026, round(s,3))
if args.s:
separators = set(separators + args.s)
# ----------------------------------------------------------------------------
trs = annotationdata.io.read(fileinput)
if tieridx < 0 or tieridx > trs.GetSize():
print 'Error: Bad tier number.\n'
sys.exit(1)
tier = trs[tieridx]
# ----------------------------------------------------------------------------
tg = TierTGA( tier )
for s in separators:
tg.append_separator( s )
ds = tg.tga()
ls = tg.labels()
occurrences = ds.len()
total = ds.total()
mean = ds.mean()
median = ds.median()
stdev = ds.stdev()
npvi = ds.nPVI()
regressp = ds.intercept_slope_original()
regresst = ds.intercept_slope()
