Casilian StudiosCASILIANMODDING SCHOOL

WillowScript (.ws) is a proposed, not-yet-implemented language. Examples and library integrations here are illustrative design exercises, not verified runnable programs.

WillowScript Master · Review conversion evidence

Defend version compatibility, capability policy, and migration decisions — Connect the previous skills

Defend version compatibility, capability policy, and migration decisions: connect the previous skills.

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PART I

Warm-up

Reconnect with a useful idea before starting defend version compatibility, capability policy, and migration decisions. In one or two sentences, describe the input, output or host boundary from the previous exercise that this lesson builds on. If you are arriving directly, skim the worked example first; there is no locked prerequisite.

A rough note is enough. You can revise it after the example.

PART II

Instruction & guided example

Review conversion evidence

A data migration changes a persisted representation. Preserve meaning, identifiers and recovery information, and distinguish data already converted from data that merely looks similar. A migration rehearsal uses copies and predicts states at interruption points before any real stored records are touched.

Disposable fixture contract: schema 1 stores {id, volumePercent}; schema 2 stores {id, volumeRatio, schema:2}. Valid percentages are integers 0 through 100; conversion divides by 100. IDs must remain unchanged. A host transaction/checkpoint protocol is required for durable commits; WDB is conceptual and this school supplies no migration runner.

Supplied case: Disposable schema-1 records U volumePercent 40 and V volumePercent 100; preset Q selects profile U.

Worked reasoning: Convert U by 40/100=0.4 and V by 100/100=1. Keep IDs U and V unchanged, so preset Q still resolves to U and now reads its 0.4 ratio. Compare interpreted preferences, not only the two-row count. The output is a paper fixture, not a database execution.

Contrast and diagnosis: Two output rows would not reveal a wrong scale, swapped IDs or orphaned preset Q. For example, renaming U to U2 without updating Q breaks its reference even if 0.4 is numerically correct.

Worked reasoning and supplied artifact

// Disposable exercise fixture / host-contract notes; not executable API syntax.
// Supplied input: Disposable schema-1 records U volumePercent 40 and V volumePercent 100; preset Q selects profile U.
// Worked prediction: Convert U by 40/100=0.4 and V by 100/100=1. Keep IDs U and V unchanged, so preset Q still resolves to U and now reads its 0.4 ratio. Compare interpreted preferences, not only the two-row count. The output is a paper fixture, not a database execution.
// Rejected alternative: Two output rows would not reveal a wrong scale, swapped IDs or orphaned preset Q. For example, renaming U to U2 without updating Q breaks its reference even if 0.4 is numerically correct.

Illustrative example from the proposed WillowScript design. The language and WUIX/WMATH/WDB/WAUDIO/WTMP services are not implemented in the supplied source. This site has no interpreter, VM or native host and does not execute or certify the snippet.

Walk through the example, one line at a time
  1. Supplied case

    Disposable schema-1 records U volumePercent 40 and V volumePercent 100; preset Q selects profile U.

  2. State / decision trace

    Convert U by 40/100=0.4 and V by 100/100=1. Keep IDs U and V unchanged, so preset Q still resolves to U and now reads its 0.4 ratio. Compare interpreted preferences, not only the two-row count. The output is a paper fixture, not a database execution.

  3. Contrasting failure

    Two output rows would not reveal a wrong scale, swapped IDs or orphaned preset Q. For example, renaming U to U2 without updating Q breaks its reference even if 0.4 is numerically correct.

Try the guided change

Reconstruct the supplied worked case first: list its inputs, intermediate decisions and final artifact. Compare each row with the explanation and identify exactly where the rejected alternative fails. Then use the changed inputs in Part IV for independent work.

  • Write the supplied inputs and initial state before following the example.
  • Reconstruct each intermediate calculation or host decision, then compare with the worked artifact.
  • Explain why the contrasting alternative fails before attempting the changed inputs in Part IV.

PART III

Take a breather

Step back after the guided example. Look away from the screen, stretch, or reread your prediction. This is an optional learning pause, not a timer or an assessment gate.

When you return, try to name the lesson’s key idea without copying its wording. If that feels difficult, return to Part II and trace one line rather than restarting the entire lesson.

Your drafts remain here. Continue whenever you are ready.

PART IV

Independent practice

Project context: Extension compatibility portfolio. Build a small, understandable change around defend version compatibility, capability policy, and migration decisions.

Independently convert X volumePercent 70 and Y volumePercent 0, with preset Z→X. Supply converted values, stable IDs and the resolved preset preference; identify which checks need a real host.

What to produce

Independently convert X volumePercent 70 and Y volumePercent 0, with preset Z→X. Supply converted values, stable IDs and the resolved preset preference; identify which checks need a real host. Include input → intermediate decision/state → predicted outcome, with any required host rule stated explicitly.

  • State the intended behavior in a sentence before editing.
  • Use only source-backed syntax and the host services whose contract you have been given.
  • Record a normal case and a boundary or unavailable-resource case.
  • Label hand predictions separately from anything actually measured in a supplied toolchain.

Syntax colors are a reading aid, not a compiler. The line you are editing stays uncolored until you move to a different line; capitalization is never changed. Drafts stay on this browser and code is not executed.

Need a hint?

Start with this case’s decisive boundary: The same profile U with ratio 0.4. Apply the same rule to the new inputs rather than copying the old outcome.

Two output rows would not reveal a wrong scale, swapped IDs or orphaned preset Q. For example, renaming U to U2 without updating Q breaks its reference even if 0.4 is numerically correct.

Original learning-path task and reference

In a small-shop operations tool, demonstrate defend version compatibility, capability policy, and migration decisions. Integrate this section with the preceding section’s artifact; identify inputs, outputs, and host capabilities. Include .ws source and a host-resource contract; compare at least one normal case and one edge case.

import wuix.widget;
const button = widget.Button({
    text: "Continue",
    events: {
        click: fnc() -> void {
            navigator.open("dashboard");
        }
    }
});

Where the original task needs a host API that is not supplied here, write the contract and predictions. Do not invent a runtime result.

PART V

Self-check

Use this check to notice what to revisit. It does not award a private course grade, block another page or claim to verify compiled code. Every answer has a learning explanation.

What must preset Q resolve to after the worked conversion?

You may keep exploring even if you are unsure. Use the hint, compare the trace, and revise your explanation.

PART VI

Recap & small task

Bring the idea back to the mod feature you are building. A useful recap connects the mechanism to a decision you can make in your own code.

  • Review conversion evidence
  • Explain the decision for the supplied case, then independently work the changed fixture.
  • Separate source-backed behavior, host requirements and untested predictions.

One small recap task

In one or two sentences, name the decisive rule in “Review conversion evidence” and predict the outcome of one changed input from your independent fixture. State which host behavior still needs real verification.

This marks your personal practice record only. It is not a certification or an official workspace assessment.

Your practice, on this browser

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