Random Crochet Stripe Sequence Plan Generator

Description

Assign supplied yarn colors and permitted stripe heights under exact row totals, adjacent-color exclusions and color quotas with bounded search.

Procedural artwork expresses a visual idea through coordinates, repeated motifs, colors, or explicit placement constraints. A coordinate plan can be checked and reproduced before rendering, while physical material behavior and fabrication require separate information.

Assign supplied yarn colors and permitted stripe heights under exact row totals, adjacent-color exclusions and color quotas with bounded search.

When to use this tool

Use this generator to create reproducible crochet stripe sequence 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 colors, allowedRows, totalRows, stripeCount 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 stripes, stripeCounts, rowTotals, totalRows. Use the conventions below. Keep answer-bearing fields separate when presenting an exercise.

Use bounded backtracking to choose stripe colors and allowed row counts, forbidding equal neighboring colors and respecting each color's maximum rows. Require exact totalRows and stripeCount and return half-open row intervals, stripe counts, and row totals.^[1]

Delegated operations used for this result: add numbers. Their calculation or parsing conventions apply to the corresponding result fields.^[2]

Input field	Meaning and units	Accepted input
colors	Colors	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 16.
colors[].id	Literal identifier used independently of display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 80.
colors[].maximumRows	Maximum Rows	Required. Safe integer; minimum 0; maximum 512.
allowedRows	Allowed Rows	Required. Array of Safe integer; minimum 1; maximum 128.; minimum items 1; maximum items 16.
totalRows	Total Rows	Required. Safe integer; minimum 1; maximum 512.
stripeCount	Stripe Count	Required. Safe integer; minimum 1; maximum 32.
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
stripes	Stripes	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 32.
stripes[].colorId	Color Id	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 80.
stripes[].rows	Rows	Required. Safe integer; minimum 1; maximum 128.
stripes[].startRow	Start Row	Required. Safe integer; minimum 0; maximum 511.
stripes[].endRowExclusive	End Row Exclusive	Required. Safe integer; minimum 1; maximum 512.
stripeCounts	Stripe Counts	Required. Array of Object; no unknown keys.; minimum items 0; maximum items 32.
stripeCounts[].id	Literal identifier used independently of display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 80.
stripeCounts[].count	Count	Required. Safe integer; minimum 0; maximum 128.
rowTotals	Row Totals	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 16.
rowTotals[].id	Literal identifier used independently of display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 80.
rowTotals[].rows	Rows	Required. Safe integer; minimum 0; maximum 512.
totalRows	Total Rows	Required. Safe integer; minimum 1; maximum 512.
randomness	Replay source and normalized 32-bit seed, or null seed for an advancing context source.	Required. Object; no unknown keys.
randomness.seed	Optional safe-integer 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.

json

{
  "input": {
    "colors": [
      {
        "id": "red",
        "maximumRows": 6
      },
      {
        "id": "blue",
        "maximumRows": 6
      }
    ],
    "allowedRows": [
      2
    ],
    "totalRows": 6,
    "stripeCount": 3,
    "seed": 42
  },
  "output": {
    "stripes": [
      {
        "colorId": "blue",
        "rows": 2,
        "startRow": 0,
        "endRowExclusive": 2
      },
      {
        "colorId": "red",
        "rows": 2,
        "startRow": 2,
        "endRowExclusive": 4
      },
      {
        "colorId": "blue",
        "rows": 2,
        "startRow": 4,
        "endRowExclusive": 6
      }
    ],
    "stripeCounts": [
      {
        "id": "red",
        "count": 1
      },
      {
        "id": "blue",
        "count": 2
      }
    ],
    "rowTotals": [
      {
        "id": "red",
        "rows": 2
      },
      {
        "id": "blue",
        "rows": 4
      }
    ],
    "totalRows": 6,
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

This does not uniformly sample valid stripe sequences or calculate yarn consumption, stitch gauge, or material behavior. Infeasible constraints or a search-budget limit return an error.
A replay requires the same complete input and implementation. The stated sampling convention applies within its eligible space. A finite draw does not exhaust all possible outputs; repeats remain possible unless a distinct-selection rule is explicit.
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

Tool behavior and example: Random Crochet Stripe Sequence Plan Generator — tool.io
Calculation or validation: arithmetic/add-numbers — tool.io

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