def test_type_properties(acoustic_config):
with CorpusContext(acoustic_config) as c:
q = c.query_graph(c.word).order_by(c.word.begin)
q = q.columns(c.word.id.column_name('id'))
results = q.all()
id = results[1]['id']
model = LinguisticAnnotation(c)
model.load(id)
assert(model.label == 'this')
assert(model.transcription == 'dh.ih.s')
def test_models(acoustic_config):
with CorpusContext(acoustic_config) as c:
q = c.query_graph(c.phone).order_by(c.phone.begin)
q = q.columns(c.phone.id.column_name('id'))
results = q.all()
id = results[0]['id']
model = LinguisticAnnotation(c)
model.load(id)
assert(model.label == '<SIL>')
assert(model.following.label == 'dh')
assert(model.following.following.label == 'ih')
assert(model.previous is None)
def test_delete(subannotation_config):
with CorpusContext(subannotation_config) as c:
q = c.query_graph(c.phone).order_by(c.phone.id)
res = q.all()
id = res[0].id
model = LinguisticAnnotation(c)
model.load(id)
assert(model.voicing_during_closure[0].begin == 99)
model.delete_subannotation(model.voicing_during_closure[0])
q = c.query_graph(c.phone).order_by(c.phone.id)
res = q.all()
id = res[0].id
model = LinguisticAnnotation(c)
model.load(id)
assert(model.voicing_during_closure == [])
def test_hierarchical(acoustic_config):
with CorpusContext(acoustic_config) as c:
q = c.query_graph(c.word).order_by(c.word.begin)
q = q.columns(c.word.id.column_name('id'))
results = q.all()
id = results[1]['id']
model = LinguisticAnnotation(c)
model.load(id)
assert(model.label == 'this')
assert([x.label for x in model.phone] == ['dh','ih','s'])
q = c.query_graph(c.phone).order_by(c.phone.begin)
q = q.columns(c.phone.id.column_name('id'))
results = q.all()
id = results[1]['id']
model = LinguisticAnnotation(c)
model.load(id)
assert(model.label == 'dh')
assert(model.word.label == 'this')
def test_add_subannotation(subannotation_config):
with CorpusContext(subannotation_config) as c:
q = c.query_graph(c.phone).order_by(c.phone.id)
q = q.columns(c.phone.id.column_name('id'))
res = q.all()
id = res[0]['id']
model = LinguisticAnnotation(c)
model.load(id)
assert(model.voicing_during_closure == [])
model.add_subannotation('voicing_during_closure', begin = 100, end = 101)
model.save()
print(model._subannotations)
print(model.voicing_during_closure)
assert(model.voicing_during_closure[0].begin == 100)
id = model.voicing_during_closure[0].id
submodel = SubAnnotation(c)
submodel.load(id)
submodel.update_properties(begin = 99)
submodel.save()
q = c.query_graph(c.phone).order_by(c.phone.id)
res = q.all()
id = res[0]['id']
model = LinguisticAnnotation(c)
model.load(id)
assert(model.voicing_during_closure[0].begin == 99)
