import com.google.common.collect.SortedMapDifference;
import com.google.common.collect.SortedMultiset;
import com.google.common.collect.SortedSetMultimap;
import com.google.common.collect.Table;
import com.google.common.collect.Tables;
import com.google.common.collect.TreeBasedTable;
import com.google.common.collect.TreeMultimap;
import com.google.common.io.ByteSink;
import com.google.common.io.ByteSource;

        long now = map.ticker.read();
        preWriteCleanup(now);

        int newCount = this.count - 1;
        AtomicReferenceArray<ReferenceEntry<K, V>> table = this.table;
        int index = hash & (table.length() - 1);
        ReferenceEntry<K, V> first = table.get(index);

        for (e = first; e != null; e = e.getNext()) {
          K entryKey = e.getKey();
          if (e.getHash() == hash

  }

  /** Fast matcher using a {@link BitSet} table of matching characters. */
  @GwtIncompatible // used only from other GwtIncompatible code
  private static final class BitSetMatcher extends NamedFastMatcher {

    private final BitSet table;

    private BitSetMatcher(BitSet table, String description) {
      super(description);
      if (table.length() + Long.SIZE < table.size()) {
        table = (BitSet) table.clone();

さらに、`secret_name` を作っていますが、現状ではそれをどこでも返してしまっています。これではあまり「シークレット」ではありません... 😅

これらを、いくつかの追加モデルで修正します。ここで SQLModel の真価が発揮されます。✨

### 複数モデルの作成 { #create-multiple-models }

SQLModel では、`table=True` のあるモデルクラスがテーブルモデルです。

`table=True` のないモデルクラスはデータモデルで、実体は（小さな機能がいくつか追加された）Pydantic モデルです。🤓

SQLModel では継承を使って、あらゆるケースでフィールドの重複を避けられます。

#### `HeroBase` - ベースクラス { #herobase-the-base-class }

//	sparse files      |     no |       yes |       yes
//
// The table's upper portion shows the [Header] fields, where each format reports
// the maximum number of bytes allowed for each string field and
// the integer type used to store each numeric field
// (where timestamps are stored as the number of seconds since the Unix epoch).
//
// The table's lower portion shows specialized features of each format,

	// You can disable it by setting `SkipDefaultTransaction` to true
	SkipDefaultTransaction    bool
	DefaultTransactionTimeout time.Duration
	DefaultContextTimeout     time.Duration

	// NamingStrategy tables, columns naming strategy
	NamingStrategy schema.Namer
	// FullSaveAssociations full save associations
	FullSaveAssociations bool
	// Logger
	Logger logger.Interface

    }
  }

  // We use power-of-2 tables, and this is the highest int that's a power of 2
  static final int MAX_TABLE_SIZE = Ints.MAX_POWER_OF_TWO;

  // Represents how tightly we can pack things, as a maximum.
  private static final double DESIRED_LOAD_FACTOR = 0.7;

  // If the set has this many elements, it will "max out" the table size

이러한 문제는 몇 가지 **추가 모델**을 추가해 해결하겠습니다. 바로 여기서 SQLModel이 빛을 발하게 됩니다. ✨

### 여러 모델 생성하기 { #create-multiple-models }

**SQLModel**에서 `table=True`가 설정된 모델 클래스는 **테이블 모델**입니다.

그리고 `table=True`가 없는 모델 클래스는 **데이터 모델**인데, 이것들은 실제로는 (몇 가지 작은 추가 기능이 있는) Pydantic 모델일 뿐입니다. 🤓

SQLModel을 사용하면 **상속**을 통해 모든 경우에 필드를 **중복 선언하지 않아도** 됩니다.

#### `HeroBase` - 기본 클래스 { #herobase-the-base-class }

  }

  /** Fast matcher using a {@link BitSet} table of matching characters. */
  @GwtIncompatible // used only from other GwtIncompatible code
  private static final class BitSetMatcher extends NamedFastMatcher {

    private final BitSet table;

    private BitSetMatcher(BitSet table, String description) {
      super(description);
      if (table.length() + Long.SIZE < table.size()) {
        table = (BitSet) table.clone();

 * since an iteration across all row keys occurs.
 *
 * <p>Note that this implementation is not synchronized. If multiple threads access this table
 * concurrently and one of the threads modifies the table, it must be synchronized externally.
 *
 * @author Jared Levy
 */
@GwtCompatible
class StandardTable<R, C, V> extends AbstractTable<R, C, V> implements Serializable {