return new ArrayDeque<>(c);
    }

    /**
     * Creates and returns a new instance of {@link ArrayDeque}.
     *
     * @param <E> the element type of {@link ArrayDeque}
     * @param numElements the lower bound of the initial capacity range for the deque
     * @return a new instance of {@link ArrayDeque}
     * @see ArrayDeque#ArrayDeque(int)
     */
    public static <E> ArrayDeque<E> newArrayDeque(final int numElements) {

**parallelly** on all servers or replace the binary lets say `/opt/bin/minio` on all nodes, apply executable permissions `chmod +x /opt/bin/minio` and process to perform `mc admin service restart alias/`. ### Upgrade Checklist - Test all upgrades in a lower environment (DEV, QA, UAT) before applying to production. Performing blind upgrades in production environments carries significant risk. - Read the release notes for MinIO *before* performing any upgrade, there is no forced requirement to upgrade to...

   * accommodate as many threads as will ever concurrently modify the table. Using a significantly
   * higher value than you need can waste space and time, and a significantly lower value can lead
   * to thread contention. But overestimates and underestimates within an order of magnitude do not
   * usually have much noticeable impact. A value of one permits only one thread to modify the cache

- Fixed the issue where pod with ordinal number lower than the rolling partitioning number was being deleted. It was coming up with updated image. ([#120731](https://github.com/kubernetes/kubernetes/pull/120731), [@adilGhaffarDev](https://github.com/adilGhaffarDev))

      // meant that sometimes a too-large threshold is calculated. However, this new threshold is
      // independent of the initial capacity, except that it won't be lower than the threshold
      // computed from that capacity. Because the internal table is only allocated on the first
      // write, we won't see copying because of the new threshold. So it is always OK to use the

      // meant that sometimes a too-large threshold is calculated. However, this new threshold is
      // independent of the initial capacity, except that it won't be lower than the threshold
      // computed from that capacity. Because the internal table is only allocated on the first
      // write, we won't see copying because of the new threshold. So it is always OK to use the

  /**
   * Applies a supplemental hash function to a given hash code, which defends against poor quality
   * hash functions. This is critical when the concurrent hash map uses power-of-two length hash
   * tables, that otherwise encounter collisions for hash codes that do not differ in lower or upper
   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,

* azure: add PrimaryAvailabilitySet to config, only use nodes in that set in the loadbalancer pool ([#34526](https://github.com/kubernetes/kubernetes/pull/34526), [@colemickens](https://github.com/colemickens))
* azure: lower log priority for skipped nic update message ([#34730](https://github.com/kubernetes/kubernetes/pull/34730), [@colemickens](https://github.com/colemickens))



# v1.4.3

* NodeController waits for informer sync before doing anything ([#34809](https://github.com/kubernetes/kubernetes/pull/34809), [@gmarek](https://github.com/gmarek))
* azure: lower log priority for skipped nic update message ([#34730](https://github.com/kubernetes/kubernetes/pull/34730), [@colemickens](https://github.com/colemickens))

*   `tf.data`

    * `tf.data` now has an `autotune_options.initial_parallelism` option to
      control the initial parallelism setting used by autotune before the data
      pipeline has started running. The default is 16. A lower value reduces
      initial memory usage, while a higher value improves startup time.

## Keras

*  `keras.layers.experimental.DynamicEmbedding`
    * Added `DynamicEmbedding` Keras layer