//
// A heap is a common way to implement a priority queue. To build a priority
// queue, implement the Heap interface with the (negative) priority as the
// ordering for the Less method, so Push adds items while Pop removes the
// highest-priority item from the queue. The Examples include such an
// implementation; the file example_pq_test.go has the complete source.
package heap

import "sort"

// The Interface type describes the requirements

  @VisibleForTesting
  static int chooseTableSize(int setSize) {
    if (setSize == 1) {
      return 2;
    }
    // Correct the size for open addressing to match desired load factor.
    // Round up to the next highest power of 2.
    int tableSize = Integer.highestOneBit(setSize - 1) << 1;
    while (tableSize * DESIRED_LOAD_FACTOR < setSize) {
      tableSize <<= 1;
    }
    return tableSize;
  }

        }
    }

    /**
     * {@link #collectNodes(Collection) Collects} and converts nodes to planned nodes
     * resolving their dependencies with the highest available {@link DetailLevel detail level}.
     */
    public static class Collector {

        private final ToPlannedNodeConverterRegistry converterRegistry;
        private final DetailLevel detailLevel;

 *         withXml {
 *           def node = it.asNode()
 *           node.appendNode('xml', 'is what I love')
 *         }
 *
 *         //beforeMerged and whenMerged closures are the highest voodoo for the tricky edge cases.
 *         //the type passed to the closures is {@link WtpFacet}
 *
 *         //closure executed after wtp facet file content is loaded from existing file

[[sec:required-version]]
`require`::
Implies that the selected version cannot be lower than what `require` accepts but could be higher through conflict resolution, even if higher has an exclusive higher bound.
This is what a direct dependency translates to.
This term supports dynamic versions.
+
When defined, this overrides any previous `strictly` declaration and clears previous `reject`.

    )

  /**
   * Lookup table for valid flags for DATA, HEADERS, CONTINUATION. Invalid combinations are
   * represented in binary.
   */
  private val FLAGS = arrayOfNulls<String>(0x40) // Highest bit flag is 0x20.
  private val BINARY =
    Array(256) {
      format("%8s", Integer.toBinaryString(it)).replace(' ', '0')
    }

  init {
    FLAGS[FLAG_NONE] = ""
    FLAGS[FLAG_END_STREAM] = "END_STREAM"

	return div
}

// xnmodp returns two values, p and div:
// p is the representation of the binary polynomial x**n mod (x ** deg + "poly")
// That is p is the binary representation of the modulus polynomial except for its highest-order term.
// div is the binary representation of the polynomial x**n / (x ** deg + "poly")
func xnmodp(n uint, poly uint64, deg uint) (uint64, uint64) {

	var mod, mask, high, div uint64

	if n < deg {
		div = 0

        textOutputFactory.toString() == "{TestEventLogger}{INFO}${sep}Test Run > Gradle Worker 2 > OuterSuiteClass > InnerSuiteClass > TestClass > a test {failure}FAILED{normal}${sep}"
    }

    def "log test method event with highest display granularity"() {
        createLogger(LogLevel.INFO, -1)

        when:
        logger.logEvent(methodDescriptor, TestLogEvent.FAILED)

        then:

	}
	// Assumed pods and bound pods that haven't started don't have a StartTime yet.
	return &metav1.Time{Time: time.Now()}
}

// GetEarliestPodStartTime returns the earliest start time of all pods that
// have the highest priority among all victims.
func GetEarliestPodStartTime(victims *extenderv1.Victims) *metav1.Time {
	if len(victims.Pods) == 0 {
		// should not reach here.

# MinIO Erasure Code Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

MinIO protects data against hardware failures and silent data corruption using erasure code and checksums. With the highest level of redundancy, you may lose up to half (N/2) of the total drives and still be able to recover the data.

## What is Erasure Code?