bpo-36018: Address more reviewer feedback (GH-15733)
diff --git a/Lib/test/test_statistics.py b/Lib/test/test_statistics.py
index 01b317c..af26473 100644
--- a/Lib/test/test_statistics.py
+++ b/Lib/test/test_statistics.py
@@ -2198,16 +2198,6 @@
exp = list(map(f, expected))
act = quantiles(map(f, data), n=n)
self.assertTrue(all(math.isclose(e, a) for e, a in zip(exp, act)))
- # Quartiles of a standard normal distribution
- for n, expected in [
- (1, []),
- (2, [0.0]),
- (3, [-0.4307, 0.4307]),
- (4 ,[-0.6745, 0.0, 0.6745]),
- ]:
- actual = quantiles(statistics.NormalDist(), n=n)
- self.assertTrue(all(math.isclose(e, a, abs_tol=0.0001)
- for e, a in zip(expected, actual)))
# Q2 agrees with median()
for k in range(2, 60):
data = random.choices(range(100), k=k)
@@ -2248,16 +2238,6 @@
exp = list(map(f, expected))
act = quantiles(map(f, data), n=n, method="inclusive")
self.assertTrue(all(math.isclose(e, a) for e, a in zip(exp, act)))
- # Quartiles of a standard normal distribution
- for n, expected in [
- (1, []),
- (2, [0.0]),
- (3, [-0.4307, 0.4307]),
- (4 ,[-0.6745, 0.0, 0.6745]),
- ]:
- actual = quantiles(statistics.NormalDist(), n=n, method="inclusive")
- self.assertTrue(all(math.isclose(e, a, abs_tol=0.0001)
- for e, a in zip(expected, actual)))
# Natural deciles
self.assertEqual(quantiles([0, 100], n=10, method='inclusive'),
[10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0])
@@ -2546,6 +2526,19 @@
# Special values
self.assertTrue(math.isnan(Z.inv_cdf(float('NaN'))))
+ def test_quantiles(self):
+ # Quartiles of a standard normal distribution
+ Z = self.module.NormalDist()
+ for n, expected in [
+ (1, []),
+ (2, [0.0]),
+ (3, [-0.4307, 0.4307]),
+ (4 ,[-0.6745, 0.0, 0.6745]),
+ ]:
+ actual = Z.quantiles(n=n)
+ self.assertTrue(all(math.isclose(e, a, abs_tol=0.0001)
+ for e, a in zip(expected, actual)))
+
def test_overlap(self):
NormalDist = self.module.NormalDist
@@ -2612,6 +2605,8 @@
def test_properties(self):
X = self.module.NormalDist(100, 15)
self.assertEqual(X.mean, 100)
+ self.assertEqual(X.median, 100)
+ self.assertEqual(X.mode, 100)
self.assertEqual(X.stdev, 15)
self.assertEqual(X.variance, 225)