def test_median_scaling(self):
H = Histogram(71)
for i in range(100000):
n = random.randint(0,70)
H.insert(n)
if i%1000==0:
start = time.process_time()
med = H.median()
print("Iteration: {0}, Time: {1}, Value: {2}".format(i,time.process_time()-start,med))
def test_median(self):
random.seed(2)
range_limit = 70
n_reps = 500
n_values = 1000
for i in range(n_reps):
H = Histogram(range_limit+1)
values = [random.randint(0,range_limit) for j in range(n_values)]
for v in values:
H.insert(v)
self.assertEqual(H.median(), median(values), "Median incorrect!")
def test_median_scaling(self):
H = Histogram(71)
for i in range(100000):
n = random.randint(0, 70)
H.insert(n)
if i % 1000 == 0:
start = time.process_time()
med = H.median()
print("Iteration: {0}, Time: {1}, Value: {2}".format(
i,
time.process_time() - start, med))
