// to the given dividend, so that we don't have half of our divisions being
  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.
  private static long randomDivisor(long dividend) {
    long r = randomSource.nextLong();
    if (dividend == -1) {
      return r;
    } else {

			}
		}
	}

	var memstats runtime.MemStats
	runtime.ReadMemStats(&memstats)

	gcStats := debug.GCStats{
		// If stats.PauseQuantiles is non-empty, ReadGCStats fills
		// it with quantiles summarizing the distribution of pause time.
		// For example, if len(stats.PauseQuantiles) is 5, it will be
		// filled with the minimum, 25%, 50%, 75%, and maximum pause times.
		PauseQuantiles: make([]time.Duration, 5),
	}

([#64347](https://github.com/kubernetes/kubernetes/pull/64347), [@neolit123](https://github.com/neolit123))

		"Total number of requests canceled by the client", "name", "type")

	apiRequestsTTFBSecondsDistributionMD = NewCounterMD(apiRequestsTTFBSecondsDistribution,
		"Distribution of time to first byte across API calls", "name", "type", "le")

	apiTrafficSentBytesMD = NewCounterMD(apiTrafficSentBytes,
		"Total number of bytes sent", "type")
	apiTrafficRecvBytesMD = NewCounterMD(apiTrafficRecvBytes,

  // to the given dividend, so that we don't have half of our divisions being
  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.
  private static long randomDivisor(long dividend) {
    long r = randomSource.nextLong();
    if (dividend == -1) {
      return r;
    } else {

    steps:
      - name: Checkout code
        uses: actions/checkout@v5
        with:
          fetch-depth: 0
      - name: Set up JDK 17
        uses: actions/setup-java@v5
        with:
          distribution: 'temurin'
          java-version: '17'
      - name: Install Groovy
        run: sudo apt-get install groovy
      - name: List PR commits
        run: |

---
name: TensorFlow Lite Converter Issue
about: Use this template for reporting issues during model conversion to TFLite
labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

     */
    void transformForInstall(Artifact artifact, ArtifactRepository localRepository)
            throws ArtifactInstallationException;

    /**
     * Take in an artifact and return the transformed artifact for distributing to a remote repository. If no
     * transformation has occurred the original artifact is returned.
     *
     * @param artifact         Artifact to be transformed.
     * @param remoteRepository the repository to deploy to

| `minio_cluster_usage_buckets_object_size_distribution`          | Bucket object size distribution. <br><br>Type: gauge                                 | `range`, `bucket` |
| `minio_cluster_usage_buckets_object_version_count_distribution` | Bucket object version count distribution. <br><br>Type: gauge                        | `range`, `bucket` |

#### `/cluster/usage/objects`

 *
 * <p>Registering a DeadEvent subscriber is useful for debugging or logging, as it can detect
 * misconfigurations in a system's event distribution.
 *
 * @author Cliff Biffle
 * @since 10.0
 */
public class DeadEvent {

  private final Object source;
  private final Object event;

  /**
   * Creates a new DeadEvent.
   *