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Coding workflows · Welford sample variance
03
A concrete starting point
Compute sample variance for 2 through 10000 values bounded by 1e150 in magnitude using Welford updates. Check constant samples and large offsets, rejecting Booleans, non-finite values and invalid counts.
Define the change
Describe the input, expected output and boundaries that must stay intact.
Inspect the work
Review the proposed edits and any commands before relying on their result.
Check the outcome
Compare actual behavior with the expected result. If a check fails, investigate it before applying more changes.
Welford sample variance
A concrete starting point
from math import isfinite
def sample_variance(values):
if type(values) not in (list, tuple) or not 2 <= len(values) <= 10000:
raise ValueError("sample count")
if any(type(x) not in (int, float) or not -1e150 <= x <= 1e150
or not isfinite(x) for x in values):
raise ValueError("bounded finite samples")
mean, m2 = 0.0, 0.0
for n, x in enumerate(values, 1):
delta = x - mean
mean += delta / n
m2 += delta * (x - mean)
return m2 / (len(values) - 1)The example is a starting point for a real project, not a claim that generated code is already tested. Adjust paths, dependencies and expected behavior to match your application.