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)
        }

        val jvmNameFromProperty = property.getJvmNameFromAnnotation(analysisSession.useSiteSession, useSiteTarget)
        if (jvmNameFromProperty != null) {
            return jvmNameFromProperty
        }

        val accessor = if (isSetter) property.setter else property.getter

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

    # as well without failing this script
    elif [ -x /etc/rc.d/init.d/fess ] ; then
        /etc/rc.d/init.d/fess stop || true
    fi
    echo " OK"
fi

$container-max-width in $max-widths {\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      max-width: $container-max-width;\n    }\n  }\n}\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  display: flex;\n  flex-wrap: wrap;\n  margin-right: -$gutter / 2;\n  margin-left: -$gutter / 2;\n}\n\n@mixin make-col-ready($gutter: $grid-gutter-width) {\n  position: relative;\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because...

```console
$ hypercorn main:app --worker-class trio
```

</div>

And that will start Hypercorn with your app using Trio as the backend.

Now you can use Trio internally in your app. Or even better, you can use AnyIO, to keep your code compatible with both Trio and asyncio. 🎉

## Deployment Concepts

## Storage usage

The selection of varying data and parity drives has a direct impact on the drive space usage. With storage class, you can optimize for high
redundancy or better drive space utilization.

To get an idea of how various combinations of data and parity drives affect the storage usage, let’s take an example of a 100 MiB file stored

0.082 responseBodyStart
0.082 responseBodyEnd
0.083 connectionReleased
0.083 callEnd
```

Notice how no connect events are fired for the second call. It reused the connection from the first request for dramatically better performance.

### EventListener.Factory

                        backingField?.findAnnotationTypeRef(annotationEntry)
                            ?: getter?.findAnnotationTypeRef(annotationEntry)
                            ?: setter?.findAnnotationTypeRef(annotationEntry)
                    }
                } else null
            }
            else -> null
        }
    }