* from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>Unlike {@code java.util.HashMap}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure places significantly reduced load on the garbage

 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>Unlike {@code java.util.HashSet}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure only depends on a fixed number of arrays; {@code

    if (expectedInsertions == 0) {
      expectedInsertions = 1;
    }
    /*
     * TODO(user): Put a warning in the javadoc about tiny fpp values, since the resulting size
     * is proportional to -log(p), but there is not much of a point after all, e.g.
     * optimalM(1000, 0.0000000000000001) = 76680 which is less than 10kb. Who cares!
     */
    long numBits = optimalNumOfBits(expectedInsertions, fpp);

* On GCP platforms, e2e testing now logs which OS images the cluster was found to have. ([#48310](https://github.com/kubernetes/kubernetes/pull/48310), [@abgworrall](https://github.com/abgworrall))

 * from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>Unlike {@code java.util.HashMap}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure places significantly reduced load on the garbage

- GCE: Enable by default audit logging truncating backend. ([#68288](https://github.com/kubernetes/kubernetes/pull/68288), [@loburm](https://github.com/loburm))
- Bumped cluster-proportional-autoscaler to 1.3.0 ([#69338](https://github.com/kubernetes/kubernetes/pull/69338), [@MrHohn](https://github.com/MrHohn))

* Add generic NoSchedule toleration to fluentd in gcp config. ([#48182](https://github.com/kubernetes/kubernetes/pull/48182), [@gmarek](https://github.com/gmarek))

* Update cluster-proportional-autoscaler, metadata-proxy, and fluentd-gcp addons with fixes for CVE-2016-4448, CVE-2016-8859, CVE-2016-9841, CVE-2016-9843, and CVE-2017-9526. ([#47545](https://github.com/kubernetes/kubernetes/pull/47545), [@ixdy](https://github.com/ixdy))

* Update cluster-proportional-autoscaler, metadata-proxy, and fluentd-gcp addons with fixes for CVE-2016-4448, CVE-2016-8859, CVE-2016-9841, CVE-2016-9843, and CVE-2017-9526. ([#47545](https://github.com/kubernetes/kubernetes/pull/47545), [@ixdy](https://github.com/ixdy))

    *   Removed data download links from TensorBoard.
    *   TensorBoard uses a relative data directory, for easier embedding.
    *   TensorBoard automatically ignores outliers for domain calculation, and
        formats proportional values consistently.
*   Multiple tfdbg bug fixes:
    *   Fixed Windows compatibility issues.
    *   Command history now persists across runs.
    *   Bug fix in graph validation related to `tf.while_loops`.