}

func PodOnNodeFromDaemonset(node string, name, namespace string, client kube.Client) (types.NamespacedName, error) {
	ds, err := client.Kube().AppsV1().DaemonSets(namespace).Get(context.Background(), name, metav1.GetOptions{})
	if err != nil {
		return types.NamespacedName{}, err
	}
	selector := ds.Spec.Selector
	if selector == nil {
		return types.NamespacedName{}, fmt.Errorf("selector is required")
	}

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.api;

import org.apache.maven.api.annotations.Experimental;

/**
 * The possible types of execution events.
 *
 * @since 4.0.0
 */
@Experimental
public enum EventType {
    PROJECT_DISCOVERY_STARTED,
    SESSION_STARTED,
    SESSION_ENDED,
    PROJECT_SKIPPED,
    PROJECT_STARTED,

contributions to the project maintainers under the Apache 2 license.

## Description


## Motivation and Context


## How to test this PR?


## Types of changes
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Optimization (provides speedup with no functional changes)

In our testing, even the most generous representations give custom types a 10x edge (in size, allocations, and CPU time) over Envoy types.
In addition, they are more clear and strictly typed; using Envoy types would require us to put a lot of information in untyped `metadata` maps.

With this in mind, Ztunnel supports two xDS resources: `Address` and `Authorization`.

### Address Type

## Wildcards

It's also possible to declare the list as `"*"` (a "wildcard") to say that all are allowed.

But that will only allow certain types of communication, excluding everything that involves credentials: Cookies, Authorization headers like those used with Bearer Tokens, etc.

So, for everything to work correctly, it's better to specify explicitly the allowed origins.

import com.google.common.collect.testing.features.CollectionFeature;
import com.google.common.testing.SerializableTester;
import org.junit.Ignore;

/**
 * Basic reserialization test for collection types that must preserve {@code equals()} behavior when
 * reserialized. (Sets and Lists, but not bare Collections.)
 *
 * @author Louis Wasserman
 */
@GwtCompatible

    /**
     * Gets a conflict resolver of the specified type.
     *
     * @param type the type of conflict resolver to obtain
     * @return the conflict resolver
     * @throws ConflictResolverNotFoundException
     *          if the specified type was not found
     */
    ConflictResolver getConflictResolver(String type) throws ConflictResolverNotFoundException;

import static java.lang.annotation.ElementType.TYPE;
import static java.lang.annotation.RetentionPolicy.RUNTIME;

import com.google.common.annotations.GwtCompatible;
import java.lang.annotation.Retention;
import java.lang.annotation.Target;
import javax.annotation.Nonnull;
import javax.annotation.meta.TypeQualifierDefault;

/**
 * Marks all "top-level" types as non-null in a way that is recognized by Kotlin. Note that this

==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_
#define TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_

#include <memory>

#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/unified_api_testutil.h"

namespace tensorflow {
namespace gradients {

#ifndef TENSORFLOW_C_EAGER_ABSTRACT_OP_ATTRS_H_
#define TENSORFLOW_C_EAGER_ABSTRACT_OP_ATTRS_H_

#include "absl/container/inlined_vector.h"
#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

// Attributes of an op.
class AbstractOpAttrs {
 protected:
  enum AbstractOpAttrsKind { kEager, kTfrt };