def NOtest_vec_distances(self):
s= self.scheduler()
vec=VECLoader(get_dataset('warlogs'),scheduler=s)
# dis=PairwiseDistances(metric='cosine',scheduler=s)
# dis.input.df = vec.output.df
# dis.input.array = vec.output.array
cnt = Every(proc=self.terse,constant_time=True,scheduler=s)
# cnt.input.df = dis.output.dist
cnt.input.df = vec.output.table
global times
times = 0
s.start()
table = vec.table()
def test_read_vec(self):
module = VECLoader(get_dataset('warlogs'), name='test_read_vec')
#self.assertTrue(module.table() is None)
module.run(0)
s = module.trace_stats(max_runs=1)
df = module.table()
self.assertFalse(df is None)
l = len(df)
#self.assertEqual(l, len(df[df[UPDATE_COLUMN]==module.last_update()]))
cnt = 1
while not module.is_zombie():
module.run(cnt)
cnt += 1
s = module.trace_stats(max_runs=1)
df = module.table()
ln = len(df)
#print ("Run time: %gs, loaded %d rows" % (s['duration'][len(s)-1], ln))
#self.assertEqual(ln-l, len(df[df[UPDATE_COLUMN]==module.last_update()]))
l = ln
s = module.trace_stats(max_runs=1)
ln = len(module.table())
