* static final ImmutableSortedMap<Integer, String> INT_TO_WORD =
   *     new ImmutableSortedMap.Builder<Integer, String>(Ordering.natural())
   *         .put(1, "one")
   *         .put(2, "two")
   *         .put(3, "three")
   *         .buildOrThrow();
   * }
   *
   * <p>For <i>small</i> immutable sorted maps, the {@code ImmutableSortedMap.of()} methods are even
   * more convenient.
   *

        .build(),
    )
    server.enqueue(
      MockResponse
        .Builder()
        .code(HttpURLConnection.HTTP_NOT_MODIFIED)
        .build(),
    )

    // At least three request/response pairs are required because after the first request is cached
    // a different execution path might be taken. Thus modifications to the cache applied during

    * The non-experimental API has some minor differences from the experimental API. In most cases, you only need to make three minor changes:
      * Remove the word "experimental" from `tf.keras.mixed_precision` symbols. E.g., replace `tf.keras.mixed_precision.experimental.global_policy` with `tf.keras.mixed_precision.global_policy`.

- A new score extension for NodeResourcesFit plugin that merges the functionality of `NodeResourcesLeastAllocated`, `NodeResourcesMostAllocated`, `RequestedToCapacityRatio` plugins, which are marked as deprecated as of v1beta2. In v1beta1, the three plugins can still be used in v1beta1 but not at the same time with the score extension of `NodeResourcesFit`. ([#101822](https://github.com/kubernetes/kubernetes/pull/101822), [@yuzhiquan](https://github.com/yuzhiquan))

// is specified) enabled.
// Similar to bucket replication for PUT operation, soft delete (a.k.a setting delete marker) and
// permanent deletes (by specifying a version ID in the delete operation) have three states "Pending", "Complete"
// and "Failed" to mark the status of the replication of "DELETE" operation. All failed operations can

```

### Step 3: Test on RabbitMQ

The python program below waits on the queue exchange `bucketevents` and prints event notifications on the console. We use [Pika Python Client](https://www.rabbitmq.com/tutorials/tutorial-three-python.html) library to do this.

```py
#!/usr/bin/env python
import pika

connection = pika.BlockingConnection(pika.ConnectionParameters(
        host='localhost'))
channel = connection.channel()

#define Z3L V25 #define Z3H V26 #define ZER V6 #define SEL1 V7 #define CAR1 V8 #define CAR2 V9 /* * * Three operand formula: * Source: 2004 Hankerson–Menezes–Vanstone, page 91. * T1 = Z1² * T2 = T1*Z1 * T1 = T1*X2 * T2 = T2*Y2 * T1 = T1-X1 * T2 = T2-Y1 * Z3 = Z1*T1 * T3 = T1² * T4 = T3*T1 * T3 = T3*X1 * T1 = 2*T3 * X3 = T2² * X3 = X3-T1 * X3 = X3-T4 * T3 = T3-X3 * T3 = T3*T2 * T4 = T4*Y1 * Y3 = T3-T4 * Three operand formulas, but with MulInternal X,Y used to store temps X=Z1; Y=Z1; MUL;T- // T1 = Z1² T1...

### SIG AWS

In v1.13 we worked on tighter integrations of Kubernetes API objects with AWS services. These include three out-of-tree alpha feature releases:

1) Alpha for AWS ALB (Application Load Balancer) integration to Kubernetes Ingress resources.
2) Alpha for CSI specification 0.3 integration to AWS EBS (Elastic Block Store)

{ // IG 10.3.A says "ML-DSA digital signature generation CASTs should cover // all applicable rejection sampling loop paths". For ML-DSA-44, there are // four paths. For ML-DSA-65 and ML-DSA-87, only three. This benchmark helps // us figure out which is faster: four rejections of ML-DSA-44, or three of // ML-DSA-65. (It's the former, but only barely.) b.Run("ML-DSA-44", func(b *testing.B) { // Same as TestACVPRejectionKAT/Test/Path/ML-DSA-44/1. seed := fromHex("5C624FCC1862452452D0") μ := fromHe...

  * Added support for printing in all supported `--output` formats to `kubectl create ...` and `kubectl apply ...` ([#38112](https://github.com/kubernetes/kubernetes/pull/38112), [@juanvallejo](https://github.com/juanvallejo))
  * Add three more columns to `kubectl get deploy -o wide` output. ([#39240](https://github.com/kubernetes/kubernetes/pull/39240), [@xingzhou](https://github.com/xingzhou))