Au final, dans les deux situations, il est fort probable que **FastAPI** soit tout de même [plus rapide](index.md#performance){.internal-link target=_blank} que (ou au moins de vitesse égale à) votre framework précédent.

### Dépendances

		} else {
			ep = path.Clean(ep)
		}
		ep = ep[1:]
	}
	return ep
}

// unescapeGeneric is similar to url.PathUnescape or url.QueryUnescape
// depending on input, additionally also handles situations such as
// `//` are normalized as `/`, also removes any `/` prefix before
// returning.
func unescapeGeneric(p string, escapeFn func(string) (string, error)) (string, error) {
	ep, err := escapeFn(p)
	if err != nil {

		}
		if pool.Decommission.Complete || pool.Decommission.Canceled {
			// Do not resume decommission upon startup for
			// - decommission complete
			// - decommission canceled
			continue
		} // In all other situations we need to resume
		newPools = append(newPools, pool)
	}
	return newPools
}

func (p *poolMeta) DecommissionComplete(idx int) bool {

	// FIXME: network calls made in this manner such as one goroutine per node,
	// can easily eat into the internode bandwidth. This function would be mostly
	// TX saturating, however there are situations where a RX might also saturate.
	// To avoid these problems we must split the work at scale. With 1000 node
	// setup becoming a reality we must try to shard the work properly such as

	}

	// Verify if we can employ autotune without running out of capacity,
	// if we do run out of capacity, make sure to turn-off autotuning
	// in such situations.
	if autotune {
		newConcurrent := concurrent + (concurrent+1)/2
		autoTunedCapacityNeeded := uint64(newConcurrent * size)
		if capacity < autoTunedCapacityNeeded {

* vSphere Volume Plugin Implementation ([#24947](https://github.com/kubernetes/kubernetes/pull/24947), [@abithap](https://github.com/abithap))
* ResourceQuota controller uses rate limiter to prevent hot-loops in error situations ([#25748](https://github.com/kubernetes/kubernetes/pull/25748), [@derekwaynecarr](https://github.com/derekwaynecarr))

	VASUBVV		V1, V2, V0, V3			// d7a1202c
	VASUBVX		X10, V2, V3			// d761252e
	VASUBVX		X10, V2, V0, V3			// d761252c

	// 31.12.3: Vector Single-Width Fractional Multiply with Rounding and Saturation
	VSMULVV		V1, V2, V3			// d781209e
	VSMULVV		V1, V2, V0, V3			// d781209c
	VSMULVX		X10, V2, V3			// d741259e
	VSMULVX		X10, V2, V0, V3			// d741259c

* Bug fixes

  * Changed Kubelet default image-gc-high-threshold to 85% to resolve a conflict with default settings in docker that prevented image garbage collection from resolving low disk space situations when using devicemapper storage. ([#40432](https://github.com/kubernetes/kubernetes/pull/40432), [@sjenning](https://github.com/sjenning))

   ([#122530](https://github.com/kubernetes/kubernetes/pull/122530), [@neolit123](https://github.com/neolit123))...

- Errors that occur during pod resize actuation will now surface in the `PodResizeInProgress` condition. ([#130902](https://github.com/kubernetes/kubernetes/pull/130902), [@natasha41575](https://github.com/natasha41575))