int expectedSize) {
    return new CompactLinkedHashSet<>(expectedSize);
  }

  private static final int ENDPOINT = -2;

  // TODO(user): predecessors and successors should be collocated (reducing cache misses).
  // Might also explore collocating all of [hash, next, predecessor, successor] fields of an

      int expectedSize) {
    return new CompactLinkedHashSet<>(expectedSize);
  }

  private static final int ENDPOINT = -2;

  // TODO(user): predecessors and successors should be collocated (reducing cache misses).
  // Might also explore collocating all of [hash, next, predecessor, successor] fields of an

    return Collections.unmodifiableSet(adjacentNodeValues.keySet());
  }

  @Override
  public Set<N> predecessors() {
    return adjacentNodes();
  }

  @Override
  public Set<N> successors() {
    return adjacentNodes();
  }

  @Override
  public Iterator<EndpointPair<N>> incidentEdgeIterator(N thisNode) {
    return Iterators.transform(
        adjacentNodeValues.keySet().iterator(),

    }

    /**
     * Test getMessageByDcerpcError() with an error code larger than any known.
     * The binary search implementation has a bug where it accesses array out of bounds.
     */
    @Test
    void testGetMessageByDcerpcError_largerThanAny() {
        int unknownCode = 0x7FFFFFFF; // Max int value

import org.dbflute.cbean.scoping.UnionQuery;
import org.dbflute.cbean.sqlclause.SqlClause;
import org.dbflute.cbean.sqlclause.orderby.OrderByClause;
import org.dbflute.dbmeta.DBMeta;
import org.dbflute.dbmeta.accessory.DerivedTypeHandler;
import org.dbflute.jdbc.StatementConfig;
import org.dbflute.system.DBFluteSystem;
import org.dbflute.twowaysql.style.BoundDateDisplayStyle;
import org.opensearch.action.search.SearchRequestBuilder;

import org.dbflute.cbean.scoping.UnionQuery;
import org.dbflute.cbean.sqlclause.SqlClause;
import org.dbflute.cbean.sqlclause.orderby.OrderByClause;
import org.dbflute.dbmeta.DBMeta;
import org.dbflute.dbmeta.accessory.DerivedTypeHandler;
import org.dbflute.jdbc.StatementConfig;
import org.dbflute.system.DBFluteSystem;
import org.dbflute.twowaysql.style.BoundDateDisplayStyle;
import org.opensearch.action.search.SearchRequestBuilder;

</p>

<p>
A data race is defined as
a write to a memory location happening concurrently with another read or write to that same location,
unless all the accesses involved are atomic data accesses as provided by the <code>sync/atomic</code> package.
As noted already, programmers are strongly encouraged to use appropriate synchronization
to avoid data races.

        .Builder()
        .add("content-length", "99")
        .add("authorization", "peanutbutter")
        .add("proxy-authorization", "chocolate")
        .add("cookie", "drink=coffee")
        .add("set-cookie", "accessory=sugar")
        .add("user-agent", "OkHttp")
        .build()
    val request =
      Request(
        "https://square.com".toHttpUrl(),
        headers,
      )

        return sb.toString();
    }

    // ===================================================================================
    //                                                                            Accessor
    //                                                                            ========
    public String getAccessType() {
        checkSpecifiedProperty("accessType");
        return convertEmptyToNull(accessType);

labels.boost_document_rule_url_expr=Condizione
labels.boost_document_rule_boost_expr=Espressione di boost
labels.boost_document_rule_sort_order=Ordine di ordinamento
labels.access_token_configuration=Token di accesso
labels.access_token_title_details=Token di accesso
labels.access_token_list_name=Nome
labels.access_token_name=Nome
labels.access_token_token=Token
labels.access_token_expires=Scade
labels.access_token_parameter_name=Nome parametro