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/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
// ----------------------------------------------------------------------------
// Deterministic seeding helpers
// ----------------------------------------------------------------------------
//
// These utilities are used to generate stable, repeatable mock metrics for
// model details (latency, throughput, uptime, app rankings) until the
// backend ships real values. Seeding the PRNG from the model name (and
// optionally the group name) ensures the same model always renders the same
// numbers, instead of jittering on every render.
/** djb2-inspired string hash → non-negative 31-bit integer. */
export function hashStringToSeed(input: string): number {
let hash = 5381
for (let i = 0; i < input.length; i++) {
hash = (hash * 33) ^ input.charCodeAt(i)
}
return Math.abs(hash | 0)
}
/** Linear-congruential generator producing pseudo-random numbers in [0, 1). */
export function seededRandom(seed: number): () => number {
let state = (seed || 1) >>> 0
return () => {
state = (state * 1664525 + 1013904223) >>> 0
return state / 0x1_0000_0000
}
}
/** Pick a number in [min, max] from a seeded PRNG. */
export function randomInRange(
rand: () => number,
min: number,
max: number
): number {
return min + rand() * (max - min)
}
/** Pick an integer in [min, max] (inclusive) from a seeded PRNG. */
export function randomIntInRange(
rand: () => number,
min: number,
max: number
): number {
return Math.floor(randomInRange(rand, min, max + 1))
}