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Digital · Guided lesson

Compare sorting and lookup costs

About 16 minutes · 4 reading + 12 practice and checks
Time includes reading, practice, and questions. Extra videos or further study are optional.
See this course’s project requirements

A tested Python catalog search with linear and binary methods, comparison counts, sortedness checks and a justified method choice.

Keep your working files in your own notebook or software. Save a private description, checklist, and work link in My Proof.

What to include

  • A three-case lookup contract with results 5,-1,-1.
  • A linear-search trace with six and seven comparisons.
  • A sortedness rule and two-step interval trace.
  • A terminating binary-search implementation and boundary trace.
  • A cost comparison distinguishing lookup from total work.
  • A checked algorithm-comparison packet with honest measurement limits.

Review and revise

Use these criteria to check your work and choose what to improve.

  • The implementation or declared simulation follows the supplied contract and retains inspectable original inputs.
  • Normal, boundary and rejected cases are recorded with expected versus observed results.
  • The changed case has a correct explanation and does not rely on hidden state.
  • The project includes source, outputs, instructions and honest tool, privacy and verification limits.
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Before you begin

The idea in everyday life

For IDs [12,18,25,31,44,52,67] and target 52, linear search uses six equality comparisons. Binary search visits two midpoints: 31 and 52. At 31 it evaluates equality (false) then less-than (true); at 52 equality is true. That is three lookup value comparisons plus six adjacent-order comparisons, total nine. Do not include loop-bound or index arithmetic operations in this explicitly defined metric.

The idea

Count value comparisons separately from midpoint probes and elapsed time. A midpoint probe may perform equality and less-than comparisons. The supplied binary function validates all adjacent pairs on every call, so its complete call is not logarithmic.

Follow along

Compare sorting and lookup costs — original worked practice

Count value comparisons separately from midpoint probes and elapsed time. A midpoint probe may perform equality and less-than comparisons. The supplied binary function validates all adjacent pairs on every call, so its complete call is not logarithmic.

For IDs [12,18,25,31,44,52,67] and target 52, linear search uses six equality comparisons. Binary search visits two midpoints: 31 and 52. At 31 it evaluates equality (false) then less-than (true); at 52 equality is true. That is three lookup value comparisons plus six adjacent-order comparisons, total nine. Do not include loop-bound or index arithmetic operations in this explicitly defined metric.

  1. 1. Step 1

    Trace the six equality comparisons used by linear(values, 52).

    You should see: Linear search performs six equality comparisons for target 52.

    Count value comparisons separately from midpoint probes and elapsed time. A midpoint probe may perform equality and less-than comparisons. The supplied binary function validates all adjacent pairs on every call, so its complete call is not logarithmic.

  2. 2. Step 2

    Trace binary midpoint 31: equality is false and less-than is true; midpoint 52: equality is true. Record three value comparisons across two probes.

    You should see: Binary lookup performs three value comparisons at two midpoint probes.

    Count value comparisons separately from midpoint probes and elapsed time. A midpoint probe may perform equality and less-than comparisons. The supplied binary function validates all adjacent pairs on every call, so its complete call is not logarithmic.

  3. 3. Step 3

    Add the six adjacent greater-than order checks: three plus six equals nine value comparisons per unchanged successful call.

    You should see: The complete call performs nine value comparisons, excluding loop/index operations.

    Count value comparisons separately from midpoint probes and elapsed time. A midpoint probe may perform equality and less-than comparisons. The supplied binary function validates all adjacent pairs on every call, so its complete call is not logarithmic.

  4. 4. Step 4

    Compare reuse of a separately verified unchanged catalog with the supplied function, which rechecks order on every call. State the defined metric and data-change limitation.

    You should see: A checked unchanged catalog can support a different optimized design; this supplied implementation still rechecks on each call.

    Count value comparisons separately from midpoint probes and elapsed time. A midpoint probe may perform equality and less-than comparisons. The supplied binary function validates all adjacent pairs on every call, so its complete call is not logarithmic.

Now change one thing

On the unchanged seven-ID catalog, three calls each recheck six adjacent pairs and perform the three lookup value comparisons for target 52. Enter the total value comparisons, excluding loop/index operations.

Your work

What to finish

A cost comparison distinguishing lookup from total work.

Common mistake

Watch for this

Describing each checked lookup as logarithmic when the supplied guard scans the entire list first.

How can I tell I understand it?

Reproduce the target-52 trace with six linear comparisons and nine complete binary value comparisons. Identify two midpoint probes separately, and explain why changed data must be revalidated and the supplied guard prevents an end-to-end logarithmic claim.

Try 3 questions

Quick knowledge check

Answer all 3 questions. Get at least 2 right and the lesson completes automatically.

Not yet passed

You’ll get an explanation for each answer. Signed in? Your results save to your account.

1For target 52, how many value comparisons does the supplied binary function perform, including its adjacent-order guard but excluding loop/index operations?
2What makes a timing comparison fairer?
3When is reuse of an earlier sortedness check justified?
0 of 3 answeredApply the lesson to a short question, then review the explanation.
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Answer all 3 questions above and get at least 2 right. You can review the explanations and try again.

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Sources and further reading

Explore the references behind this lesson.

docs.python.org — bisect.html
Source & access notes · checked 2026-10-01

Relevant documented module/API behavior inspected during expansion authoring; actual execution evidence is recorded separately. No grant eligibility is established.

Access: Official page retrieved with the web reader on 2026-10-01. Documentation reading does not certify execution in every native tool or browser.

Reuse: Original local practice files, fictional data, worked examples and questions. Concepts paraphrased and linked; source exercises are not copied.

docs.python.org — sorting.html
Source & access notes · checked 2026-10-01

Relevant documented module/API behavior inspected during expansion authoring; actual execution evidence is recorded separately. No grant eligibility is established.

Access: Official page retrieved with the web reader on 2026-10-01. Documentation reading does not certify execution in every native tool or browser.

Reuse: Original local practice files, fictional data, worked examples and questions. Concepts paraphrased and linked; source exercises are not copied.

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