import org.apache.maven.repository.legacy.WagonManager;
import org.codehaus.plexus.logging.AbstractLogEnabled;

/**
 * Describes a version transformation during artifact resolution.
 *
 * TODO try and refactor to remove abstract methods - not particular happy about current design
 */
@Deprecated
public abstract class AbstractVersionTransformation extends AbstractLogEnabled implements ArtifactTransformation {
    @Inject

     * Executes query processing through the filter chain.
     *
     * @param context the query context containing search parameters and state
     * @param query the Lucene query to be processed
     * @param boost the boost factor to apply to the query
     * @return the processed OpenSearch QueryBuilder
     */
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {

    private static final long serialVersionUID = 1L;

    /**
     * Default initial capacity.
     */
    protected static final int DEFAULT_INITIAL_CAPACITY = 16;

    /**
     * Default load factor.
     */
    protected static final float DEFAULT_LOAD_FACTOR = 0.75f;

    /**
     * Upper limit on the number of entries.
     */
    protected final int limitSize;

    /**

#include "tensorflow/core/platform/status.h"

using tensorflow::string;

namespace {

std::vector<int64_t> TensorShapeAsVector(const tensorflow::TensorHandle& handle,
                                         absl::Status* status) {
  std::vector<int64_t> shape;
  int rank = -1;
  *status = handle.NumDims(&rank);
  if (!status->ok()) {
    return shape;
  }
  shape.reserve(rank);

 * and creating appropriate DictionaryFile instances for them.
 */
public abstract class DictionaryCreator {

    /** Pattern used to match file paths that this creator can handle. */
    protected Pattern pattern;

    /** Manager for dictionary operations and lifecycle. */
    @Resource
    protected DictionaryManager dictionaryManager;

    /**

            if (mechs != null) {
                final ASN1EncodableVector vector = new ASN1EncodableVector();
                for (final ASN1ObjectIdentifier mech : mechs) {
                    vector.add(mech);
                }
                fields.add(new DERTaggedObject(true, 0, new DERSequence(vector)));
            }
            final int ctxFlags = getContextFlags();
            if (ctxFlags != 0) {

<!DOCTYPE components PUBLIC "-//DBFLUTE//DTD LastaDi 1.0//EN"
	"http://dbflute.org/meta/lastadi10.dtd">
<components>
	<include path="convention.xml"/>
    <component name="pagerCreator" class="org.codelibs.fess.mylasta.creator.PagerCreator"/>

	}
}

// Sleep sleeps the specified time multiplied by the sleep factor.
// If the factor is updated the sleep will be done again with the new factor.
func (d *dynamicSleeper) Sleep(ctx context.Context, base time.Duration) {
	for {
		// Grab current values
		d.mu.RLock()
		minWait, maxWait := d.minSleep, d.maxSleep
		factor := d.factor
		cycle := d.cycle
		d.mu.RUnlock()

   * can hold setSize elements with the desired load factor.
   */
  @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;

            splitIntoBuckets(
                LinkedList(subProjectTestClassTimes),
                SubprojectTestClassTime::totalTime,
                { largeElement, factor ->
                    List(factor) { SmallSubprojectBucket(largeElement.subProject, parallelization(factor)) }
                },
                { list ->
                    SmallSubprojectBucket(list.map { it.subProject }, parallelization(1))
                },