// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/imagepolicy/v1alpha1";

// ImageReview checks if the set of images in a pod are allowed.
message ImageReview {
  // Standard object's metadata.
  // More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

}

func (p poolMeta) ResumeBucketObject(idx int) (bucket, object string) {
	if p.Pools[idx].Decommission != nil {
		bucket = p.Pools[idx].Decommission.Bucket
		object = p.Pools[idx].Decommission.Object
	}
	return
}

func (p *poolMeta) TrackCurrentBucketObject(idx int, bucket string, object string) {
	if p.Pools[idx].Decommission == nil {
		// Decommission not in progress.
		return

    private final Object keys;
    private final Object values;

    SerializedForm(ImmutableMap<K, V> map) {
      if (USE_LEGACY_SERIALIZATION) {
        Object[] keys = new Object[map.size()];
        Object[] values = new Object[map.size()];
        int i = 0;
        // "extends Object" works around https://github.com/typetools/checker-framework/issues/3013

/**
 * An Access Control Entry (ACE) is an element in a security descriptor
 * such as those associated with files and directories. The Windows OS
 * determines which users have the necessary permissions to access objects
 * based on these entries.
 * <p>
 * To fully understand the information exposed by this class a description
 * of the access check algorithm used by Windows is required. The following

     *
     * <p>If {@code nodeU} and {@code nodeV} are not already present in this graph, this method will
     * silently {@link #addNode(Object) add} {@code nodeU} and {@code nodeV} to the graph.
     *
     * @return this {@code Builder} object
     * @throws IllegalArgumentException if the introduction of the edge would violate {@link
     *     #allowsSelfLoops()}
     */
    @CanIgnoreReturnValue

      dummy += Objects.hashCode(S0, S1, S2, S3);
    }
    return dummy;
  }

  @Benchmark
  int hashString_5(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy += Objects.hashCode(S0, S1, S2, S3, S4);
    }
    return dummy;
  }

  @Benchmark
  int hashMixed_5(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy += Objects.hashCode(I2, S1, D1, S2, I0);

		Help:      "Distribution of time to last byte for objects downloaded from warm tier",
		Type:      gaugeMetric,
	}

	// {minio_node}_{tier}_{requests_success}
	tierRequestsSuccessMD = MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: tierSubsystem,
		Name:      tierRequestsSuccess,
		Help:      "Number of requests to download object from warm tier that were successful",
		Type:      counterMetric,

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

   * o.equals(e)}.
   *
   * @param o object to be checked for containment in this queue
   * @return {@code true} if this queue contains the specified element
   */
  @CanIgnoreReturnValue // pushed down from class to method
  @Override
  public boolean contains(@Nullable Object o) {
    final Monitor monitor = this.monitor;
    monitor.enter();
    try {

    TypeVariableKey(TypeVariable<?> var) {
      this.var = checkNotNull(var);
    }

    @Override
    public int hashCode() {
      return Objects.hashCode(var.getGenericDeclaration(), var.getName());
    }

    @Override
    public boolean equals(@CheckForNull Object obj) {
      if (obj instanceof TypeVariableKey) {
        TypeVariableKey that = (TypeVariableKey) obj;
        return equalsTypeVariable(that.var);