Page 4 of 8~96 min topic

Python only what you need

Measure whether the score labeler works

Page 4 turns “it ran” into executable checks for the threshold score labeler (`scores.py`).

~12 min this pageEvaluationReviewed 2026-08-08

1Learn the idea

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Make the metric executable

Translate the claim into assertions or a tiny eval harness. The metric to protect is: boundary labels at 0.49/0.50/0.51 and empty-list positive count 0. Always record the denominator (how many cases) beside any rate. A percentage without a denominator is marketing, not measurement.

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Run the checks

def label_scores(scores, threshold):
    labels = ["yes" if score >= threshold else "no" for score in scores]
    return labels, labels.count("yes")

assert label_scores([0.49, 0.50, 0.51], 0.50) == (
    ["no", "yes", "yes"],
    2,
)
assert label_scores([], 0.50) == ([], 0)
assert label_scores([0.0, 1.0], 0.50) == (["no", "yes"], 1)
print("3/3 checks passed")

Expected output: 3/3 checks passed.

To prove the boundary test can detect a real bug, temporarily change >= to >. The first assertion must fail because 0.50 becomes "no". Restore >= and rerun. A test that stays green under that mutation does not protect the agreed equality rule.

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Say what the metric does not prove

Be explicit: beating the baseline (hand-label the three scores on paper before writing the function) on this fixture does not prove behavior under string scores that compare lexicographically, or IndentationError that hides a wrong cutoff. Label observations separately from conclusions so the next page inherits honest evidence about the score labeler.

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Lab notebook: denominator discipline

Compute boundary labels at 0.49/0.50/0.51 and empty-list positive count 0 with the denominator written beside the rate every time. For this chapter, the evaluation set is intentionally tiny; that is allowed only if you say so in the evidence. Compare against hand-label the three scores on paper before writing the function before celebrating.

Add one negative case aimed at string scores that compare lexicographically, or IndentationError that hides a wrong cutoff. A suite with only happy cases cannot protect the score labeler when the characteristic failure appears in review.

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Worked judgment

If a check is expensive or flaky, shrink it until it is deterministic on scores=[0.2,0.9,0.4], threshold=0.5. Flaky green builds teach the team to ignore gates. Record what this page does not prove so security-ops and mastery-ship inherit honest limits.

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Independent transfer

Test a shipping-fee function whose free-shipping boundary is exactly $50. Include $49.99, $50.00, $50.01, and an empty cart. Mutate the boundary operator and confirm the suite catches it.

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Before you start

Why this matters

Write one independent check that would catch a fake pass for this lab. Prefer a check tied to boundary labels at 0.49/0.50/0.51 and empty-list positive count 0 over a check that only asserts “no exception.”

In the wild

See how this idea shows up as a product and a company — then come back to the lesson. Skills transfer across vendors.

Check your understanding

Page assessment

Answer from memory. Completion is saved from this evidence, not from opening the next page.

1. Is the metric computed with an explicit denominator?
2. Does a failing gold case actually fail the harness?
3. Did you separate observations from conclusions?
4. What remains unproved after these checks?

All responses are required.