}
	if f.vsCreated {
		vs := []*utilipvs.VirtualServer{{}}
		return vs, nil
	}
	return nil, nil
}
func (f *fakeIpvs) AddRealServer(*utilipvs.VirtualServer, *utilipvs.RealServer) error {
	return nil
}
func (f *fakeIpvs) GetRealServers(*utilipvs.VirtualServer) ([]*utilipvs.RealServer, error) {
	return nil, nil
}
func (f *fakeIpvs) DeleteRealServer(*utilipvs.VirtualServer, *utilipvs.RealServer) error {

		// ipvs call
		serv := &utilipvs.VirtualServer{
			Address:   svcInfo.ClusterIP(),
			Port:      uint16(svcInfo.Port()),
			Protocol:  string(svcInfo.Protocol()),
			Scheduler: proxier.ipvsScheduler,
		}
		// Set session affinity flag and timeout for IPVS service
		if svcInfo.SessionAffinityType() == v1.ServiceAffinityClientIP {
			serv.Flags |= utilipvs.FlagPersistent

	"k8s.io/kubernetes/pkg/proxy"
	proxyconfigapi "k8s.io/kubernetes/pkg/proxy/apis/config"
	"k8s.io/kubernetes/pkg/proxy/iptables"
	"k8s.io/kubernetes/pkg/proxy/ipvs"
	utilipset "k8s.io/kubernetes/pkg/proxy/ipvs/ipset"
	utilipvs "k8s.io/kubernetes/pkg/proxy/ipvs/util"
	"k8s.io/kubernetes/pkg/proxy/nftables"
	proxyutil "k8s.io/kubernetes/pkg/proxy/util"
	utiliptables "k8s.io/kubernetes/pkg/util/iptables"
	"k8s.io/utils/exec"
)

    const ::stablehlo::quantization::QuantizationSpecs& specs,
    const ::stablehlo::quantization::DebuggerConfig& debugger_config);

// Adds passes for static-range quantization post-calibration. Utilizes tensor
// statistics collected from the calibration step and performs quantization.
void AddPostCalibrationPasses(
    OpPassManager& pm,
    const ::stablehlo::quantization::PipelineConfig& pipeline_config,

import java.util.Collection;
import java.util.HashSet;
import java.util.Set;

/**
 * Encapsulates all logic required to build a {@link LocalConfigurationMetadata} from a
 * {@link ConfigurationInternal}. Utilizes caching to prevent unnecessary duplicate conversions
 * between DSL and internal metadata types.
 */
public class DefaultLocalConfigurationMetadataBuilder implements LocalConfigurationMetadataBuilder {

def main(user_id: str):
    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```
Qui peuvent ensuite être utilisés comme cela:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

			// handles loading and updating the "cacerts" secret with the "istio-generated" key the
			// same way it handles the "istio-ca-secret" secret. Isitod utilizes a secret watch instead
			// of file watch to check for secret updates. This may change in the future, and istiod
			// will watch the file mount instead.
		}

Pour en savoir plus, consultez la section <a href="https://fastapi.tiangolo.com/fr/benchmarks/" class="internal-link" target="_blank">Benchmarks</a>.

## Dépendances facultatives

- Using the status of build features in reports or statistics.
- Incrementally adopting experimental Gradle features by disabling incompatible plugin functionality.

Below is an example of a plugin that utilizes both of the cases.

.Reacting to build features
[source,java]
----
include::{snippetsPath}/developingPlugins/reactingToBuildFeatures/groovy/buildSrc/src/main/java/MyPlugin.java[tags=my-plugin]
----

  let summary =
    "Shape inference on TF dialect and ops implementing InferTypeOpInterface";

  let description = [{
    Fixed point shape refinement pass that utilizes the shape functions
    registered on ops using the InferTypeOpInterface as well as by bridging to
    the TensorFlow op registry's shape functions. This is an interprocedural