{
  "context": "Evaluates how well the solution uses the unique-random generators as callable-and-iterable sources to build a shared stream across direct calls and for-of iteration. Focus is on picking the correct factory, reusing one generator, and leveraging its built-in bounds and consecutive-uniqueness guarantees instead of manual randomness.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Factory choice",
      "description": "Creates the random source via a unique-random factory (`consecutiveUniqueRandom` or `exhaustiveUniqueRandom`) with the provided bounds instead of hand-rolling randomness.",
      "max_score": 25
    },
    {
      "name": "Shared reuse",
      "description": "Uses a single generator instance for both `next()` and `take()` so direct invocation and iteration draw from the same stream without re-creating or resetting it.",
      "max_score": 30
    },
    {
      "name": "Iterable draw",
      "description": "Implements batch collection in `take()` by iterating the generator (e.g., `for...of` or `[Symbol.iterator]`) rather than repeated manual calls or new generators, proving awareness that the generator is iterable.",
      "max_score": 20
    },
    {
      "name": "Bound reliance",
      "description": "Relies on the factory's inclusive min/max handling instead of adding extra bound checks or secondary random generation to enforce range.",
      "max_score": 10
    },
    {
      "name": "No repeats via API",
      "description": "Leverages the unique-random consecutive-uniqueness behavior (from `consecutiveUniqueRandom` or `exhaustiveUniqueRandom`) to satisfy the no-immediate-repeat requirement without custom de-duplication loops.",
      "max_score": 15
    }
  ]
}