def test1(self):
coll1 = Collector()
coll2 = Collector()
n = 40
s1 = 0
s2 = 0
q1 = 0
q2 = 0
for i in range(n):
x1 = uniform(5, 15)
x2 = uniform(20, 30)
coll1.add(x1)
coll2.add(x2)
s1 += x1
s2 += x2
q1 += x1 * x1
q2 += x2 * x2
self.assertAlmostEqual(q1, coll1.sum_squares(), 5)
self.assertAlmostEqual(q2, coll2.sum_squares(), 5)
self.assertAlmostEqual(s1, coll1.sum(), 5)
self.assertEqual(i + 1, coll1.count())
self.assertAlmostEqual(s2, coll2.sum(), 5)
self.assertEqual(i + 1, coll2.count())
self.assertAlmostEqual(math.sqrt(q1 / n - s1 * s1 / n / n),
coll1.standard_deviation(), 5)
self.assertAlmostEqual(math.sqrt(q2 / n - s2 * s2 / n / n),
coll2.standard_deviation(), 5)
self.assertAlmostEqual(q1 / n - s1 * s1 / n / n, coll1.variance(), 5)
self.assertAlmostEqual(q2 / n - s2 * s2 / n / n, coll2.variance(), 5)
self.assertAlmostEqual(s1 / n, coll1.average(), 5)
self.assertAlmostEqual(s2 / n, coll2.average(), 5)
def test1(self):
coll = Collector()
for x in self.data:
coll.add(x)
self.assertAlmostEqual(self.stdev, coll.standard_deviation())
self.assertAlmostEqual(self.var, coll.variance(), 5)
self.assertAlmostEqual(self.avg, coll.average(), 5)
self.assertAlmostEqual(self.sumsq, coll.sum_squares(), 5)
self.assertAlmostEqual(self.sum, coll.sum(), 5)
self.assertEqual(self.count, coll.count())
if len(data_string) == 0:
reply = "Error: empty command"
else:
cmd = data_string[0] # first character
parameter = data_string[1:] # the rest
# Adds the value to the collector
if cmd == 'A':
try:
v = float(parameter)
collector.add(v)
reply = "OK " + parameter + " added"
except ValueError as ve:
reply = "Error"
# Asks for the average
elif cmd == 'a':
reply = str(collector.average())
# Asks for the count
elif cmd == 'c':
reply = str(collector.count())
# Asks for the standard deviation
elif cmd == 'd':
reply = str(collector.standard_deviation())
# Asks for the sum of squares
elif cmd == 'q':
reply = str(collector.sum_squares())
# Asks for the sum
elif cmd == 's':
reply = str(collector.sum())
# Asks for the variance
elif cmd == 'v':
reply = str(collector.variance())
