Description
Shuffle supplied unique columns and draw optional visibility while retaining required columns and stable left/none/right pin partitions.
An interface fixture makes content and state explicit so a consumer can test a rendering or interaction. Literal labels, modeled states, and calculated geometry remain separate from what a browser or assistive technology actually displays or announces.
Shuffle supplied unique columns and draw optional visibility while retaining required columns and stable left/none/right pin partitions.
When to use this tool
Use this generator to create reproducible table column visibility fixture cases from the supplied model or bank. Inspect the returned evidence before using cases in a test or exercise.
How to use the tool and how it works
- Supply columns in the field shapes below. Set seed when you need an explicit replay.
- Run the tool and correct any input error. For generated controls, distinguish a successful fixture containing an invalid case from failure to generate the fixture.
- Read columns, order, visibleOrder. Use the conventions below and keep answer-bearing fields separate when presenting an exercise.
Shuffle the distinct column IDs, keep required columns visible, and draw visibility for optional columns. Return all columns in shuffled order and visible columns stably grouped by left, unpinned, then right pinning.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| columns | Columns | Required. Array of Object; no unknown keys.; minimum items 1; maximum items 32. |
| columns[].id | Literal identifier used to match records, independently of their display labels. | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 32. |
| columns[].label | Caller-facing text label; not a globally unique identifier. | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128. |
| columns[].required | Required | Required. Boolean. |
| columns[].pin | Pin | Required. Text; one of "left", "none", "right". |
| seed | Optional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed. | Optional. Safe integer. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| columns | Columns | Required. Array of Object; no unknown keys.; minimum items 1; maximum items 32. |
| columns[].id | Literal identifier used to match records, independently of their display labels. | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 32. |
| columns[].label | Caller-facing text label; not a globally unique identifier. | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128. |
| columns[].required | Required | Required. Boolean. |
| columns[].pin | Pin | Required. Text; one of "left", "none", "right". |
| columns[].displayLabel | Display Label | Required. Text; maximum UTF-16 length 256. |
| columns[].visible | Visible | Required. Boolean. |
| order | Order | Required. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 32.; minimum items 1; maximum items 32. |
| visibleOrder | Visible Order | Required. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 32.; minimum items 0; maximum items 32. |
| randomness | Replay metadata: source is seed or context; seed is the normalized 32-bit seed or null for a context source. | Required. Object; no unknown keys. |
| randomness.seed | Optional numeric replay seed; normalization and precedence are explained below. | Required. Safe integer. or Null. |
| randomness.source | Source | Required. Text; one of "context", "seed". |
An explicit safe-integer seed takes precedence over injected context randomness and is normalized to an unsigned 32-bit integer. With no seed and no context source, replay uses the fixed tool.io default seed. A context source must return finite values from zero inclusive to one exclusive; its advancing state must be retained separately. randomness records the source and normalized seed, or null for context. These generators are not cryptographic random sources.
{
"input": {
"columns": [
{
"id": "name",
"label": "Name",
"required": true,
"pin": "left"
},
{
"id": "age",
"label": "Age",
"required": false,
"pin": "none"
},
{
"id": "status",
"label": "Status",
"required": false,
"pin": "right"
}
],
"seed": 42
},
"output": {
"columns": [
{
"id": "status",
"label": "Status",
"required": false,
"pin": "right",
"displayLabel": "Status",
"visible": false
},
{
"id": "name",
"label": "Name",
"required": true,
"pin": "left",
"displayLabel": "Name",
"visible": true
},
{
"id": "age",
"label": "Age",
"required": false,
"pin": "none",
"displayLabel": "Age",
"visible": true
}
],
"order": [
"status",
"name",
"age"
],
"visibleOrder": [
"name",
"age"
],
"randomness": {
"seed": 42,
"source": "seed"
}
}
}Limitations and assumptions
- Labels need not be unique and never replace IDs. Pinning is a fixture convention; no table rendering, persistence, or viewport measurement occurs.
- A replay requires the same complete input and implementation. Randomized construction does not guarantee uniform coverage of every feasible output; finite samples can repeat unless a distinct-selection rule is explicitly stated.
- The field tables state structural bounds; cross-field constraints and bounded search or output budgets also apply. Unknown keys are rejected where the object contract disallows them. Input errors are distinct from null fields and deliberate invalid controls in a successful output.
Alternative or Complementary methods
For a supplied example, inspect the returned construction or delegated check directly. To evaluate a consumer, also test cases chosen for its own boundaries; a generated finite corpus does not establish exhaustive coverage.
References
Similar or alternative tools
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