def run_query(self):
config = self.kwargs['config']
path = self.kwargs['path']
stop_check = self.kwargs['stop_check']
call_back = self.kwargs['call_back']
call_back('Enriching phonological inventory...')
call_back(0, 0)
with CorpusContext(config) as c:
enrich_features_from_csv(c, path)
if stop_check():
call_back('Resetting phonological inventory...')
call_back(0, 0)
c.reset_lexicon()
return False
return True
def run_query(self):
config = self.kwargs['config']
path = self.kwargs['path']
stop_check = self.kwargs['stop_check']
call_back = self.kwargs['call_back']
call_back('Enriching phonological inventory...')
call_back(0, 0)
with CorpusContext(config) as c:
enrich_features_from_csv(c, path)
if stop_check():
call_back('Resetting phonological inventory...')
call_back(0, 0)
c.reset_lexicon()
return False
return True
def test_feature_enrichment(timed_config, csv_test_dir):
path = os.path.join(csv_test_dir, 'timed_features.txt')
with CorpusContext(timed_config) as c:
enrich_features_from_csv(c, path)
q = c.query_graph(c.phone).filter(c.phone.vowel_height == 'lowhigh')
q = q.columns(c.phone.label.column_name('label'))
res = q.all()
assert (all(x['label'] == 'ay' for x in res))
q = c.query_graph(c.phone).filter(c.phone.place_of_articulation == 'velar')
q = q.columns(c.phone.label.column_name('label'))
res = q.all()
assert (all(x['label'] in ['k', 'g'] for x in res))
def test_feature_enrichment(timed_config, csv_test_dir):
path = os.path.join(csv_test_dir, 'timed_features.txt')
with CorpusContext(timed_config) as c:
enrich_features_from_csv(c, path)
q = c.query_graph(c.phone).filter(c.phone.vowel_height == 'lowhigh')
q = q.columns(c.phone.label.column_name('label'))
res = q.all()
assert(all(x['label'] == 'ay' for x in res))
q = c.query_graph(c.phone).filter(c.phone.place_of_articulation == 'velar')
q = q.columns(c.phone.label.column_name('label'))
res = q.all()
assert(all(x['label'] in ['k','g'] for x in res))
