package org.apache.maven.plugin; public abstract synchronized class AbstractMojo implements Mojo, ContextEnabled { private logging.Log log; private java.util.Map pluginContext; public void AbstractMojo(); public void setLog(logging.Log); public logging.Log getLog(); public java.util.Map getPluginContext(); public void setPluginContext(java.util.Map); } org/apache/maven/plugin/AbstractMojoExecutio.class package org.apache.maven.plugin; public abstract synchronized class AbstractMojoExecutio extends...

      </replaceConfiguration>

    Given a const min, max, num_bits and narrow_range attribute, applies the
    same uniform quantization simulation as is done by the TensorFlow
    fake_quant_with_min_max_args op. See the fakeQuantAttrsToType() utility
    method and the quant-convert-simulated-quantization pass for further details.
  }];

  let arguments = (ins
    F32Tensor:$inputs,
    F32Attr:$min,
    F32Attr:$max,

	"k8s.io/kubernetes/pkg/features"
	kubeletconfig "k8s.io/kubernetes/pkg/kubelet/apis/config"
	kubetypes "k8s.io/kubernetes/pkg/kubelet/types"
	utilfs "k8s.io/kubernetes/pkg/util/filesystem"
	utiltaints "k8s.io/kubernetes/pkg/util/taints"
	"k8s.io/utils/cpuset"
)

var (
	defaultCFSQuota = metav1.Duration{Duration: 100 * time.Millisecond}
)

// ValidateKubeletConfiguration validates `kc` and returns an error if it is invalid

    Given a const min, max, num_bits and narrow_range attribute, applies the
    same uniform quantization simulation as is done by the TensorFlow
    fake_quant_with_min_max_args op. See the fakeQuantAttrsToType() utility
    method and the quant-convert-simulated-quantization pass for further details.
  }];

  let arguments = (ins
    F32Tensor:$inputs,
    F32Attr:$min,
    F32Attr:$max,

	"k8s.io/apimachinery/pkg/util/sets"
	utilfeature "k8s.io/apiserver/pkg/util/feature"
	runtimeapi "k8s.io/cri-api/pkg/apis/runtime/v1"
	"k8s.io/klog/v2"
	"k8s.io/kubernetes/pkg/features"
	kubecontainer "k8s.io/kubernetes/pkg/kubelet/container"
	utilstore "k8s.io/kubernetes/pkg/kubelet/util/store"
	"k8s.io/kubernetes/pkg/registry/core/service/allocator"
	utilfs "k8s.io/kubernetes/pkg/util/filesystem"
)

    And be compatible with all of them at the same time.

Create a utility function to hash a password coming from the user.

And another utility to verify if a received password matches the hash stored.

And another one to authenticate and return a user.

=== "Python 3.10+"

 * Comparator} instead of {@code ComparisonChain}. The example above can be implemented like this:
 *
 * <pre>{@code
 * import static java.util.Comparator.comparing;
 * import static java.util.Comparator.nullsLast;
 * import static java.util.Comparator.naturalOrder;
 *
 * ...
 *   private static final Comparator<Foo> COMPARATOR =
 *       comparing((Foo foo) -> foo.aString)

	"k8s.io/apimachinery/pkg/types"
	utilerrors "k8s.io/apimachinery/pkg/util/errors"
	utilruntime "k8s.io/apimachinery/pkg/util/runtime"
	"k8s.io/client-go/tools/cache"
	"k8s.io/client-go/tools/record"

	v1 "k8s.io/api/core/v1"
	clientset "k8s.io/client-go/kubernetes"
	appsv1listers "k8s.io/client-go/listers/apps/v1"
	utilpod "k8s.io/kubernetes/pkg/api/v1/pod"
	"k8s.io/kubernetes/pkg/controller"

Le nom le plus proche serait `item_query`.

Mais vous avez vraiment envie que ce soit exactement `item-query`...

Pour cela vous pouvez déclarer un `alias`, et cet alias est ce qui sera utilisé pour trouver la valeur du paramètre :

```Python hl_lines="9"
{!../../../docs_src/query_params_str_validations/tutorial009.py!}
```

## Déprécier des paramètres