* Updates the kubernetes dashboard add-on to v1.10.1. Skipping dashboard login is no longer enabled by default. ([#72495](https://github.com/kubernetes/kubernetes/pull/72495), [@liggitt](https://github.com/liggitt))

* RuntimeClass is now printed with extra `RUNTIME-HANDLER` column. ([#72446](https://github.com/kubernetes/kubernetes/pull/72446), [@Huang-Wei](https://github.com/Huang-Wei))
* Updates the kubernetes dashboard add-on to v1.10.1. Skipping dashboard login is no longer enabled by default. ([#72495](https://github.com/kubernetes/kubernetes/pull/72495), [@liggitt](https://github.com/liggitt))

    } else {
      return new BigInteger(digits, RANDOM_SOURCE).setBit(digits);
    }
  }

  /**
   * Equivalent to calling randomPositiveBigInteger(numBits) and then flipping the sign with 50%
   * probability.
   */
  static BigInteger randomNonZeroBigInteger(int numBits) {
    BigInteger result = randomPositiveBigInteger(numBits);

- Allowed attached volumes to be mounted quicker by skipping exponential backoff when checking for reported-in-use volumes. ([#106853](https://github.com/kubernetes/kubernetes/pull/106853), [@gnufied](https://github.com/gnufied))

  }

  // From RFC 3720, Section 12.1, the polynomial generator is 0x11EDC6F41.
  // We calculate the constant below by:
  //   1. Omitting the most significant bit (because it's always 1). => 0x1EDC6F41
  //   2. Flipping the bits of the constant so we can process a byte at a time. => 0x82F63B78
  private static final int CRC32C_GENERATOR = 0x1EDC6F41; // 0x11EDC6F41

### Major Features and Improvements

*   Add `is_cpu_target_available`, which indicates whether or not TensorFlow was built with support for a given CPU target. This can be useful for skipping target-specific tests if a target is not supported.

*   `tf.data`

   This adds `OkUrlFactory`, `Cache`, and `@Deprecated` annotations for APIs
   dropped in 2.0.

## Version 1.5.4

_2014-04-14_

 * Drop ALPN support in Android. There's a concurrency bug in all
   currently-shipping versions.
 * Support asynchronous disconnects by breaking the socket only. This should
   prevent flakiness from multiple threads concurrently accessing a stream.

## Version 1.5.3

_2014-03-29_

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where a integer (but not int typed) is used. Encoding this as a float
    results in failed round-tripping between encode and parse.
    Our Id type is a prime example of this.

    >>> decimal_encoder(Decimal("1.0"))
    1.0

    >>> decimal_encoder(Decimal("1"))
    1
    """

  }

  // From RFC 3720, Section 12.1, the polynomial generator is 0x11EDC6F41.
  // We calculate the constant below by:
  //   1. Omitting the most significant bit (because it's always 1). => 0x1EDC6F41
  //   2. Flipping the bits of the constant so we can process a byte at a time. => 0x82F63B78
  private static final int CRC32C_GENERATOR = 0x1EDC6F41; // 0x11EDC6F41

   * loop and doing a (much simpler) += hash2. We're also changing the index to a positive number by
   * AND'ing with Long.MAX_VALUE instead of flipping the bits.
   */
  MURMUR128_MITZ_64() {
    @Override
    public <T extends @Nullable Object> boolean put(
        @ParametricNullness T object,
        Funnel<? super T> funnel,
        int numHashFunctions,