): List<SmallSubprojectBucket> {
        // splitIntoBuckets() method expects us to split large element into N elements,
        // but we want to have a single bucket with N batches.
        // As a workaround, we repeat the bucket N times, and deduplicate the result at the end
        val resultIncludingDuplicates = splitIntoBuckets(
            LinkedList(subProjectTestClassTimes),

  @SuppressWarnings("Immutable") // We don't modify this after construction.
  private final int[] cellRowIndices;

  // For each cell in iteration order, the index of that cell's column key in the list of column
  // keys present in that row.
  @SuppressWarnings("Immutable") // We don't modify this after construction.
  private final int[] cellColumnInRowIndices;

// type of eager and graph tensors. It is also the result of executing an
// operation.
typedef struct TF_AbstractTensor TF_AbstractTensor;

// A TF_AbstractOp is the metadata we need to execute an operation. E.g. this
// could contain the op type and other attributes.
typedef struct TF_AbstractOp TF_AbstractOp;

// Stores a function representation that can be used for execution or for

	default:
		if !sCfg.initialized {
			return -1
		}
		return sCfg.Standard.Parity
	}
}

// ShouldInline returns true if the shardSize is worthy of inline
// if versioned is true then we chosen 1/8th inline block size
// to satisfy the same constraints.
func (sCfg *Config) ShouldInline(shardSize int64, versioned bool) bool {
	if shardSize < 0 {
		return false
	}

	ConfigLock.RLock()

		var idx int
		if byID {
			var err error
			idx, err = strconv.Atoi(pool)
			if err != nil {
				// We didn't find any matching pools, invalid input
				writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, errInvalidArgument), r.URL)
				return
			}
		} else {
			idx = globalEndpoints.GetPoolIdx(pool)
			if idx == -1 {
				// We didn't find any matching pools, invalid input

## **4. Run Sample Applications**

After installing Hive, Hadoop and Spark successfully, we can now proceed to run some sample applications to see if they are configured appropriately.  We can use Spark Pi and Spark WordCount programs to validate our Spark installation. We can also explore how to run Spark jobs from the command line and Spark shell.

### **4.1 Spark Pi**

  }

  public void testToString() {
    // We can easily afford to test this exhaustively.
    for (int i = 0; i <= 0xff; i++) {
      assertThat(UnsignedBytes.toString((byte) i)).isEqualTo(Integer.toString(i));
    }
  }

  public void testToStringWithRadix() {
    // We can easily afford to test this exhaustively.

 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
@SuppressWarnings("Java7ApiChecker")
/*
 * Users will use most of these methods only if they're already using Stream. For a few other
 * methods, like stream(Iterable), we have to rely on users not to call them without library
 * desugaring.
 */
@IgnoreJRERequirement
public final class Streams {
  /**

# Security Policy

## Supported Versions

We always provide security updates for the [latest release](https://github.com/minio/minio/releases/latest).
Whenever there is a security update you just need to upgrade to the latest version.

## Reporting a Vulnerability

All security bugs in [minio/minio](https://github,com/minio/minio) (or other minio/* repositories)
should be reported by email to ******@****.***. Your email will be acknowledged within 48 hours,

    steps:
    - name: Checkout repository
      uses: actions/checkout@v2
      with:
        # We must fetch at least the immediate parents so that if this is
        # a pull request then we can checkout the head.
        fetch-depth: 2

    # If this run was triggered by a pull request event, then checkout
    # the head of the pull request instead of the merge commit.