gohugoio/hugo · error

the seed value ( ) must be a non-negative integer

Error message

the seed value (%v) must be a non-negative integer

What it means

Thrown by Namespace.D — Hugo's sorted-unique-random-integer generator (Vitter's Method D) — when the `seed` argument fails to convert to int64 or is negative. The PRNG is seeded with this value, so it must be a deterministic non-negative integer; negatives and non-numeric values are rejected outright at validation time before any sampling occurs.

Solutions

  1. Pass an explicit non-negative integer literal, e.g. `D 42 3 10`.
  2. If the seed is computed, clamp it: `{{ $seed := mod $hash 1000000 }}` to guarantee non-negativity.
  3. Verify the seed variable is an int and not nil before calling D.
  4. Check upstream data sources (front matter, JSON) that feed the seed are numeric.

Example fix

// before
{{ $r := collections.D -1 3 10 }}
// after
{{ $r := collections.D 42 3 10 }}
Defensive patterns

Strategy: validation

Validate before calling

func validateDSeed(seed any) (int64, error) {
    s, err := cast.ToInt64E(seed)
    if err != nil || s < 0 {
        return 0, fmt.Errorf("seed must be non-negative int, got %v", seed)
    }
    return s, nil
}

Type guard

func isNonNegInt(v any) bool {
    n, err := cast.ToInt64E(v)
    return err == nil && n >= 0
}

Prevention

When it happens

Trigger: Calling `{{ partial "D" (dict "seed" -5 "n" 3 "hi" 10) }}` or the namespaced `collections.D` with a negative seed, a float like `1.5`, a string that cast cannot parse, or nil. The check is `cast.ToInt64E(seed)` returning an error OR seedInt < 0.

Common situations: Content author computes a seed from a date/hash that can be negative, passes a template variable that is unexpectedly nil or a string, or copies example code that hard-coded a seed which was later changed. Also seen when seeding from `math/rand` output cast improperly.

Related errors


AI-assisted analysis of gohugoio/hugo@52c9bd7908 (2026-08-09). Data as JSON: /api/errors/da72a7c95b30cab7. Report an issue: GitHub.

Appendix: source

Thrown at tpl/collections/collections.go:558

// D returns a sorted slice of unique random integers in the half-open interval
// [0, hi) using the provided seed value. The number of elements in the
// resulting slice is n or hi, whichever is less.
//
// If n <= hi, it returns a sorted random sample of size n using J. S. Vitter’s
// Method D for sequential random sampling.
//
// If n > hi, it returns the full, sorted range [0, hi) of size hi.
//
// If n == 0 or hi == 0, it returns an empty slice.
//
// Reference:
//
//	J. S. Vitter, "An efficient algorithm for sequential random sampling," ACM Trans. Math. Softw., vol. 11, no. 1, pp. 37–57, 1985.
//	See also: https://getkerf.wordpress.com/2016/03/30/the-best-algorithm-no-one-knows-about/
func (ns *Namespace) D(seed, n, hi any) ([]int, error) {
	seedInt, err := cast.ToInt64E(seed)
	if err != nil || seedInt < 0 {
		return nil, fmt.Errorf("the seed value (%v) must be a non-negative integer", seed)
	}

	nInt, err := cast.ToIntE(n)
	if err != nil || nInt < 0 || nInt > maxSeqSize {
		return nil, fmt.Errorf("the number of requested values (%v) must be a non-negative integer <= %d", n, maxSeqSize)
	}

	hiInt, err := cast.ToIntE(hi)
	if err != nil || hiInt < 0 || hiInt > maxSeqSize {
		return nil, fmt.Errorf("the maximum requested value (%v) must be a non-negative integer <= %d", hi, maxSeqSize)
	}

	if nInt == 0 || hiInt == 0 {
		return []int{}, nil
	}

	key := dKey{seed: uint64(seedInt), n: nInt, hi: hiInt}

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