* Get the value for the key 'indexer.max.result.window.size'. <br>
     * The value is, e.g. 10000 <br>
     * comment: Maximum result window size for the indexer.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getIndexerMaxResultWindowSize();

    /**
     * Get the value for the key 'indexer.max.result.window.size' as {@link Integer}. <br>

($precision < 0 and $remainder >= $divisor * 5) {\n      $result: $result + 1;\n    }\n  }\n  $result: $result * $factor * $sign;\n  $dividend-unit: unit($dividend);\n  $divisor-unit: unit($divisor);\n  $unit-map: (\n    \"px\": 1px,\n    \"rem\": 1rem,\n    \"em\": 1em,\n    \"%\": 1%\n  );\n  @if ($dividend-unit != $divisor-unit and map-has-key($unit-map, $dividend-unit)) {\n    $result: $result * map-get($unit-map, $dividend-unit);\n  }\n  @return $result;\n}\n\n// Remove px-unit from $rfs-base-value for...

  controller-manager, and scheduler server components, we no longer
  reference the individual architectures in the image names, specifically
  in the 'FROM' directive of the server image Dockerfiles.
  
  As a result, server images for non-amd64 images copy in the go-runner
  amd64 binary instead of the go-runner that matches that architecture.
  
  This commit explicitly sets the '--platform=linux/${arch}' to ensure

    ml_models.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/predict")
async def predict(x: float):
    result = ml_models["answer_to_everything"](x)
    return {"result": result}
```

**Note**: This is the recommended way going forward, instead of using `startup` and `shutdown` events.