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Digital · Guided lesson

Reject an impossible event

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 fictional equipment-repair workflow with a transition table, guarded actions, rejected transitions and a trace of two complete cases.

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 workflow map with distinct states and events.
  • A complete allowed-transition table and a rejection case.
  • A guarded verification matrix with accepted and rejected cases.
  • An impossible-event test with state preservation.
  • Complete, resumed and rejected workflow traces.
  • A tested finite workflow model with honest completion boundaries.

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

Start new. Try close: ValueError. Keeping the caller’s state unchanged preserves new rather than mislabeling it closed.

The idea

Rejecting an impossible event protects historical meaning. The supplied function returns the next state but does not mutate the caller; assign a new state only after a successful call.

Follow along

Reject an impossible event — original worked practice

Rejecting an impossible event protects historical meaning. The supplied function returns the next state but does not mutate the caller; assign a new state only after a successful call.

Start new. Try close: ValueError. Keeping the caller’s state unchanged preserves new rather than mislabeling it closed.

  1. 1. Step 1

    Capture state=new before the call.

    You should see: The baseline is clear.

    This keeps the rule and its observable result together.

  2. 2. Step 2

    Attempt transition(new, close).

    You should see: The pair is absent and raises ValueError.

    This keeps the rule and its observable result together.

  3. 3. Step 3

    Assign next state only inside the success path.

    You should see: Failure leaves the caller’s state as new.

    This keeps the rule and its observable result together.

  4. 4. Step 4

    Record the rejected action and unchanged state.

    You should see: An impossible-event test with state preservation.

    This keeps the rule and its observable result together.

Now change one thing

At closed, attempt close again under this table. Enter accept or reject.

Your work

What to finish

An impossible-event test with state preservation.

Common mistake

Watch for this

Returning the current state for every impossible event, hiding an invalid caller action.

How can I tell I understand it?

Explain and demonstrate the required distinction: Rejecting an impossible event protects historical meaning. The supplied function returns the next state but does not mutate the caller; assign a new state only after a successful call. Show a changed input and the expected result without weakening this contract.

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.

1What state should remain after failed new, close?
2What makes a repeated close acceptable?
3What is a problem with assigning closed before validation?
0 of 3 answeredApply the lesson to a short question, then review the explanation.
4
Finish this lesson

Pass the check. We’ll save the progress.

Answer all 3 questions above and get at least 2 right. You can review the explanations and try again.

Go to the knowledge check
Tools, templates, and lesson sources

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Sources and further reading

Explore the references behind this lesson.

Python built-in mapping types — dictionaries
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 — controlflow.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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