Table<R, C, V> table(Table<R, C, V> table, @Nullable Object mutex) {
    return new SynchronizedTable<>(table, mutex);
  }

  static final class SynchronizedTable<
          R extends @Nullable Object, C extends @Nullable Object, V extends @Nullable Object>
      extends SynchronizedObject implements Table<R, C, V> {

    SynchronizedTable(Table<R, C, V> delegate, @Nullable Object mutex) {

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

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

from fastapi.responses import StreamingResponse
from sqlmodel import Field, Session, SQLModel, create_engine

engine = create_engine("postgresql+psycopg://postgres:postgres@localhost/db")


class User(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str


app = FastAPI()


def get_session():
    with Session(engine) as session:
        yield session

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

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

  }

  /** A factory that chooses the most space-efficient representation of the table. */
  static <R, C, V> RegularImmutableTable<R, C, V> forOrderedComponents(
      ImmutableList<Cell<R, C, V>> cellList,
      ImmutableSet<R> rowSpace,
      ImmutableSet<C> columnSpace) {
    // use a dense table if more than half of the cells have values
    // TODO(gak): tune this condition based on empirical evidence

@GwtIncompatible // TODO(hhchan): ArrayTable
@NullUnmarked
public class ArrayTableRowMapTest extends RowMapTests {
  public ArrayTableRowMapTest() {
    super(true, false, false, false);
  }

  @Override
  Table<String, Integer, Character> makeTable() {
    return ArrayTable.create(asList("foo", "bar", "dog"), asList(1, 2, 3));
  }

  @Override
  protected Map<String, Map<Integer, Character>> makeEmptyMap() {

    // In JDK8, table is set lazily, so it may be null.
    return table == null ? 0 : table.length;
  }

  public void testCapacityForLargeSizes() {
    int[] largeExpectedSizes =
        new int[] {
          Integer.MAX_VALUE / 2 - 1,
          Integer.MAX_VALUE / 2,
          Integer.MAX_VALUE / 2 + 1,
          Integer.MAX_VALUE - 1,
          Integer.MAX_VALUE
        };

  }

  @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;
  }

### Создание нескольких моделей { #create-multiple-models }

В **SQLModel** любая модель с `table=True` — это **модель-таблица**.

Любая модель без `table=True` — это **модель данных**, по сути обычная модель Pydantic (с парой небольших дополнений). 🤓

С SQLModel мы можем использовать **наследование**, чтобы **избежать дублирования** полей.

			Type:        "string",
			Sensitive:   true,
		},
		config.HelpKV{
			Key:         target.PostgresTable,
			Description: "DB table name to store/update events, table is auto-created",
			Type:        "string",
		},
		config.HelpKV{
			Key:         target.PostgresFormat,
			Description: formatComment,
			Type:        "namespace*|access",
		},