Harshavardhana <******@****.***> 1712330228 -0700

     *
     * Here we automatically accept the following cases:
     * - A setter `setX` of an upgraded property is removed
     * - A boolean `isX` of an upgraded property is removed
     * - A new getter `getX` is added, where the old getter is a boolean getter `isX` of an upgraded property
     * - A return type is changed for a getter `getX` of an upgraded property
     *

  // `input_tensor_id`, and `input_dtypes`; the latter two are somewhat
  // redundant but taken as arguments to avoid repeatedly fetching these values
  // between calls to ShouldRecord and Accumulator), and its outputs
  // (`output_tensors`).
  //
  // If provided, a non-null `forward_function` will be used instead of the
  // backward function (`backward_function_getter` /

        }

    override val getter: KtPropertyGetterSymbol?
        get() = withValidityAssertion {
            if (descriptor.isDynamic()) return null
            val getter = descriptor.getter ?: return KtFe10DescDefaultPropertyGetterSymbol(descriptor, analysisContext)
            return KtFe10DescPropertyGetterSymbol(getter, analysisContext)
        }

    override val setter: KtPropertySetterSymbol?

        get() = withValidityAssertion { psi.isVar }

    override val getter: KtPropertyGetterSymbol
        get() = withValidityAssertion {
            val getter = psi.getter ?: return KtFe10PsiDefaultPropertyGetterSymbol(psi, analysisContext)
            return KtFe10PsiPropertyGetterSymbol(getter, analysisContext)
        }

    override val setter: KtPropertySetterSymbol?
        get() = withValidityAssertion {

        get() = withValidityAssertion { descriptor.setter != null }

    override val setter: KtPropertySetterSymbol?
        get() = withValidityAssertion {
            if (!descriptor.isVar) {
                return null
            }

            val setter = descriptor.setter ?: return KtFe10DescDefaultPropertySetterSymbol(descriptor, analysisContext)
            KtFe10DescPropertySetterSymbol(setter, analysisContext)
        }

* In many cases the question asked is about an imaginary solution from the user, but there might be a **better** one. If you can understand the problem and use case better, you might be able to suggest a better **alternative solution**.

* If you can't understand the question, ask for more **details**.

### Reproduce the problem

When you check the benchmarks, it is common to see several tools of different types compared as equivalent.

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.

The hierarchy is like:

* **Uvicorn**: an ASGI server

         * (via generateReflectiveAccessForGetter) and it is called for the private access member lowered to the getter/setter call.
         * If a private property has no getter/setter (the typical situation for simple private properties without explicitly defined
         * getter/setter) then this method is not used at all. Instead

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## Prerequisites

- Prometheus and MinIO configured as explained in [document here](https://github.com/minio/minio/blob/master/docs/metrics/prometheus/README.md).