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Stronger tests for the statistics kernel formulas #120506

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merged 4 commits into from
Jun 14, 2024
Merged

Stronger tests for the statistics kernel formulas #120506

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9ece723
Stronger cdf/invcdf roundtrip test
rhettinger Jun 2, 2024
12e5dd8
Remove kde() dependency to isolate the kernel tests
rhettinger Jun 2, 2024
65e4195
Merge branch 'main' into kde_tests
rhettinger Jun 14, 2024
bf8197c
Restore "in".
rhettinger Jun 14, 2024
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10 changes: 7 additions & 3 deletions Lib/test/test_statistics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2434,18 +2434,22 @@ def integrate(func, low, high, steps=10_000):
data.append(100)
self.assertGreater(f_hat(100), 0.0)

def test_kde_kernel_invcdfs(self):
def test_kde_kernel_specs(self):
# White-box test for the kernel formulas in isolation from
# their downstream use in kde() and kde_random()
kernel_specs = statistics._kernel_specs
kde = statistics.kde

# Verify that cdf / invcdf will round trip
xarr = [i/100 for i in range(-100, 101)]
parr = [i/1000 + 5/10000 for i in range(1000)]
for kernel, spec in kernel_specs.items():
cdf = spec['cdf']
invcdf = spec['invcdf']
with self.subTest(kernel=kernel):
cdf = kde([0.0], h=1.0, kernel=kernel, cumulative=True)
for x in xarr:
self.assertAlmostEqual(invcdf(cdf(x)), x, places=6)
for p in parr:
self.assertAlmostEqual(cdf(invcdf(p)), p, places=11)

@support.requires_resource('cpu')
def test_kde_random(self):
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