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

WillowScript Professional · Derive a report’s expected rows by hand

Write data and UI acceptance cases — Discover and trace

Write data and UI acceptance cases: discover and trace.

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PART I

Warm-up

Reconnect with a useful idea before starting write data and ui acceptance cases. 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

Derive a report’s expected rows by hand

Data and UI acceptance need the same concrete dataset. A report claim is testable only when the supplied rows, filter, projection, ordering and visible state are explicit. WDB’s proposed query design is not this website’s SQLite runtime. Field names and collections come from the exercise host, and tie, missing-value and snapshot rules need their own contracts.

Supplied inventory snapshot r90 has rows (id=A,name=Bolts,stock=0), (B,Cable,9), (C,Drill,10). Report rule selects stock<10 and projects id,name,stock, ordered by increasing stock. Host inputs supply the collection and fields.

Calculate the selected rows by hand, then derive the visible representation from those results. Keep empty success separate from unavailable data. A screenshot can show a layout but cannot prove its underlying query or resource authorization was correct. Worked case: A passes because 0<10; B passes because 9<10; C fails because 10 is not less than 10. The predicted visible rows are A then B, with exactly the three selected fields. This is a hand derivation, not WDB execution.

Compare the tempting alternative: Using ≤10 includes C and changes the boundary. Showing all original fields ignores the projection even if the correct rows were selected.

Worked reasoning and supplied artifact

// Paper trace / supplied exercise-host contract; no execution claimed.
// Supplied inventory snapshot r90 has rows (id=A,name=Bolts,stock=0), (B,Cable,9), (C,Drill,10). Report rule selects stock<10 and projects id,name,stock, ordered by increasing stock. Host inputs supply the collection and fields.
// A passes because 0<10; B passes because 9<10; C fails because 10 is not less than 10. The predicted visible rows are A then B, with exactly the three selected fields. This is a hand derivation, not WDB execution.

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. // Paper trace / supplied exercise-host contract; no execution claimed.

    This comment explains intent for a reader. It is not an operation and should not be counted as an executed result.

  2. // Supplied inventory snapshot r90 has rows (id=A,name=Bolts,stock=0), (B,Cable,9), (C,Drill,10). Report rule selects stock<10 and projects id,name,stock, ordered by increasing stock. Host inputs supply the collection and fields.

    This comment explains intent for a reader. It is not an operation and should not be counted as an executed result.

  3. // A passes because 0<10; B passes because 9<10; C fails because 10 is not less than 10. The predicted visible rows are A then B, with exactly the three selected fields. This is a hand derivation, not WDB execution.

    This comment explains intent for a reader. It is not an operation and should not be counted as an executed result.

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: Operations reporting utility. Build a small, understandable change around write data and ui acceptance cases.

Create a row-by-row predicate table and the final projected output, then add D with stock=11.

What to produce

A four-row selection trace and exact expected two-row artifact.

  • 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 the specific transition in this case: A passes because 0<10; B passes because 9<10; C fails because 10 is not less than 10. The predicted visible rows are A then B, with exactly the three selected fields. This is a hand derivation, not WDB execution.

Using ≤10 includes C and changes the boundary. Showing all original fields ignores the projection even if the correct rows were selected.

Original learning-path task and reference

In a racing checkpoint editor, demonstrate write data and ui acceptance cases. Read the source-grounded example and predict its observable behavior before making changes. Include .ws source and a host-resource contract; compare at least one normal case and one edge case.

import wdb;
domain Inventory {
    const lowStock = wdb.query({
        from: products,
        select: [id, name, stock],
        where: [[ stock < 10 ]],
        order: { by: stock, direction: ascending }
    });
}

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.

Which supplied row is excluded by the exact boundary?

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.

  • Derive a report’s expected rows by hand
  • Create a row-by-row predicate table and the final projected output, then add D with stock=11.
  • Separate source-backed behavior, host requirements and untested predictions.

One small recap task

Write the expected row order and explain the comparison.

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

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