Description
Generate distinct sRGB hex colors separated by a caller OKLab Euclidean threshold using the existing hex generator, with finite rejection sampling and no perceptual guarantee for every observer.
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.
Generate distinct sRGB hex colors separated by a caller OKLab Euclidean threshold using the existing hex generator, with finite rejection sampling and no perceptual guarantee for every observer.
When to use this tool
Use this generator to create reproducible perceptually distinct palette 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 count, minimumDistance, maximumAttempts 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 colors, pairDistances, minimumPairDistance, attempts. Use the conventions below and keep answer-bearing fields separate when presenting an exercise.
Draw six-digit RGB candidate colors and convert them to Oklab. Accept a distinct color only when its Euclidean Oklab distance from every accepted color is at least minimumDistance. Return the symmetric distance matrix, smallest pair distance, and attempts consumed.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| count | Requested count; the mechanics explain whether one draw expands into several returned records. | Required. Safe integer; minimum 2; maximum 32. |
| minimumDistance | Minimum separation under the stated metric, not an arbitrary percentage. | Required. Finite number; minimum 0. |
| maximumAttempts | Maximum Attempts | Required. Safe integer; minimum 2; maximum 8192. |
| 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 |
|---|---|---|
| colors | Colors | Required. Array of Text; minimum UTF-16 length 7; maximum UTF-16 length 7.; minimum items 2; maximum items 32. |
| pairDistances | Pair Distances | Required. Array of Array of Finite number; minimum 0.; minimum items 2; maximum items 32.; minimum items 2; maximum items 32. |
| minimumPairDistance | Minimum Pair Distance | Required. Finite number; minimum 0. |
| attempts | Attempts | Required. Safe integer; minimum 2; maximum 8192. |
| 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": {
"count": 3,
"minimumDistance": 0.08,
"maximumAttempts": 256,
"seed": 42
},
"output": {
"colors": [
"#99E1EF",
"#72C32B",
"#DA3B32"
],
"pairDistances": [
[
0,
0.23223162360349597,
0.3871507399281652
],
[
0.23223162360349597,
0,
0.34629109143736014
],
[
0.3871507399281652,
0.34629109143736014,
0
]
],
"minimumPairDistance": 0.23223162360349597,
"attempts": 3,
"randomness": {
"seed": 42,
"source": "seed"
}
}
}Limitations and assumptions
- A finite rejection budget can fail even if a suitable palette exists. Perceptual separation depends on the stated metric and is not a guarantee for every display, visual impairment, or accessibility use.
- 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
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