def test_hist(self):
h = Circllhist()
h.insert(123,3)
h.insert_intscale(1,1)
self.assertEqual(h.count(), 4)
self.assertEqual(h.bin_count(), 2)
self.assertAlmostEqual(h.sum(), 385.5)
self.assertAlmostEqual(h.mean(), 96.375)
self.assertAlmostEqual(h.quantile(0.5), 123.333, 1)
self.assertTrue(str(h))
g = Circllhist.from_dict(h.to_dict())
self.assertEqual(h.sum(), g.sum())
h.merge(g)
f = Circllhist.from_b64(h.to_b64())
self.assertEqual(h.sum(), f.sum())
h.clear()
self.assertEqual(h.count(), 0)
def test_hist(self):
h = Circllhist()
h.insert(123, 3)
h.insert_intscale(1, 1)
self.assertEqual(h.count(), 4)
self.assertEqual(h.bin_count(), 2)
self.assertAlmostEqual(h.sum(), 385.5)
self.assertAlmostEqual(h.mean(), 96.375)
self.assertAlmostEqual(h.quantile(0.5), 123.333, 1)
self.assertTrue(str(h))
g = Circllhist.from_dict(h.to_dict())
self.assertEqual(h.sum(), g.sum())
h.merge(g)
f = Circllhist.from_b64(h.to_b64())
self.assertEqual(h.sum(), f.sum())
h.clear()
self.assertEqual(h.count(), 0)
def test_hist(self):
h = Circllhist()
h.insert(123, 3)
h.insert_intscale(1, 1)
self.assertEqual(h.count(), 4)
self.assertEqual(h.bin_count(), 2)
self.assertAlmostEqual(h.sum(), 384.87619047)
self.assertAlmostEqual(h.mean(), 96.2190476)
self.assertAlmostEqual(h.quantile(0.5), 122.5, 1)
self.assertAlmostEqual(h.quantile(0.5, qtype=7), 122.5, 1)
self.assertTrue(str(h))
g = Circllhist.from_dict(h.to_dict())
self.assertEqual(h.sum(), g.sum())
h.merge(g)
print(h.to_b64())
f = Circllhist.from_b64(h.to_b64())
self.assertEqual(h.sum(), f.sum())
h.clear()
self.assertEqual(h.count(), 0)
def fmt(rec):
# raise Exception("Can't fetch histogram data from a numeric metric")
h = Circllhist()
if rec[kind]:
h.insert(rec[kind])
return h