private static final double DESIRED_LOAD_FACTOR = 0.7;

  // If the set has this many elements, it will "max out" the table size
  private static final int CUTOFF = (int) (MAX_TABLE_SIZE * DESIRED_LOAD_FACTOR);

  /**
   * Returns an array size suitable for the backing array of a hash table that uses open addressing
   * with linear probing in its implementation. The returned size is the smallest power of two that

		t.Fatalf("invalid sql generated, got %v", sql)
	}

	sql = DB.Session(&gorm.Session{DryRun: true}).Table("user u").Select("name").Find(&User{}).Statement.SQL.String()
	if !regexp.MustCompile(`SELECT .name. FROM user u WHERE .u.\..deleted_at. IS NULL`).MatchString(sql) {
		t.Errorf("Table with escape character, got %v", sql)
	}

	if DB.First(&User{}, "name = ?", user.Name).Error == nil {

 */
package okhttp3.internal.idn

import kotlin.math.abs
import kotlin.streams.toList
import okio.Buffer

/** Index [table] for compactness as specified by `IdnaMappingTable`. */
fun buildIdnaMappingTableData(table: SimpleIdnaMappingTable): IdnaMappingTableData {
  val simplified = mergeAdjacentRanges(table.mappings)
  val withoutSectionSpans = withoutSectionSpans(simplified)
  val sections = sections(withoutSectionSpans)

  }

  @Generates
  static <R, C, V> Table<R, C, V> generateTable(R row, C column, V value) {
    return generateHashBasedTable(row, column, value);
  }

  @Generates
  static <R, C, V> HashBasedTable<R, C, V> generateHashBasedTable(R row, C column, V value) {
    HashBasedTable<R, C, V> table = HashBasedTable.create();
    table.put(row, column, value);
    return table;
  }

	DB.First(&result2, "code = ?", "save")
	AssertEqual(t, result2, lang)

	DB.Table("langs").Migrator().DropTable(&Language{})
	DB.Table("langs").AutoMigrate(&Language{})

	if err := DB.Table("langs").Save(&lang).Error; err != nil {
		t.Errorf("no error should happen when creating data, but got %v", err)
	}

	var result3 Language

  }

  @Generates
  static <R, C, V> Table<R, C, V> generateTable(R row, C column, V value) {
    return generateHashBasedTable(row, column, value);
  }

  @Generates
  static <R, C, V> HashBasedTable<R, C, V> generateHashBasedTable(R row, C column, V value) {
    HashBasedTable<R, C, V> table = HashBasedTable.create();
    table.put(row, column, value);
    return table;
  }

   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly

create table DUMMY_MEMBER(
    MEMBER_ID INTEGER IDENTITY NOT NULL PRIMARY KEY,
    MEMBER_NAME VARCHAR(200) NOT NULL,
    MEMBER_ACCOUNT VARCHAR(50) NOT NULL,
    MEMBER_STATUS_CODE CHAR(3) NOT NULL,
    FORMALIZED_DATETIME DATETIME,
    BIRTHDATE DATE,
    REGISTER_DATETIME DATETIME NOT NULL,
    REGISTER_USER VARCHAR(200) NOT NULL,
    UPDATE_DATETIME DATETIME NOT NULL,
    UPDATE_USER VARCHAR(200) NOT NULL,
    VERSION_NO BIGINT NOT NULL

      $submitButton = $("input#submit, button#submit");
      if ($submitButton.length > 0) {
        $submitButton[0].submit();
      }
      // ignore enter key down
      return false;
    }
  });

  $(".table tr[data-href]").each(function() {
    $(this)
      .css("cursor", "pointer")
      .hover(
        function() {
          $(this).addClass("active");
        },
        function() {

@GwtCompatible
@NullMarked
public class HashBasedTableRowTest extends RowTests {
  public HashBasedTableRowTest() {
    super(false, true, true, true, true);
  }

  @Override
  Table<Character, String, Integer> makeTable() {
    return HashBasedTable.create();
  }