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Fuzz testing with auto-shrinking and composable chaos stream transformers for Vitest
Fuzz testing and chaos streams for Vitest.
Async generators with auto-shrinking, regression cases, and seeded RNG.
import { test, gen, take } from "vimonkey"
test.fuzz("cursor stays in bounds", async () => {
for await (const key of take(gen(["j", "k", "h", "l"]), 100)) {
await handle.press(key)
expect(getCursor()).toBeGreaterThanOrEqual(0)
}
// On failure: auto-shrinks to minimal repro, saves to __fuzz_cases__/
})
Generators support uniform arrays, weighted tuples, sync/async picker functions, and multi-value returns.
Composable async iterable transformers that simulate unreliable delivery.
import { chaos, drop, reorder } from "vimonkey/chaos"
const chaotic = chaos(
source,
[
{ type: "drop", params: { rate: 0.2 } },
{ type: "reorder", params: { windowSize: 5 } },
{ type: "duplicate", params: { rate: 0.1 } },
],
rng,
)
Built-in transformers: drop, reorder, duplicate, burst, initGap, delay. Extend with custom registries.
npm install vimonkey
import { test, gen, take } from "vimonkey" // Fuzz testing
import { chaos, drop, reorder } from "vimonkey/chaos" // Chaos streams
import { viMonkeyPlugin } from "vimonkey/plugin" // Vitest plugin
MIT
FAQs
Fuzz testing with auto-shrinking and composable chaos stream transformers for Vitest
We found that vimonkey demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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