- Graduating `pending_pods`, `preemption_attempts_total`, `preemption_victims` and `schedule_attempts_total` metrics to stable. Also `e2e_scheduling_duration_seconds` is renamed to `scheduling_attempt_duration_seconds` and the latter is graduated to stable. (#105941, @rezakrimi) [SIG Instrumentation, Scheduling and Testing]

 * [application interceptor][OkHttpClient.interceptors] or as a [OkHttpClient.networkInterceptors].
 *
 * The format of the logs created by this class should not be considered stable and may
 * change slightly between releases. If you need a stable logging format, use your own interceptor.
 */
class HttpLoggingInterceptor
  @JvmOverloads
  constructor(
    private val logger: Logger = Logger.DEFAULT,
  ) : Interceptor {

   * example, some special files may return a size of 0 despite actually having content when read).
   *
   * <p>Additionally, for mutable sources such as files, a subsequent read may return a different
   * number of bytes if the contents are changed.
   *
   * @since 19.0
   */
  public Optional<Long> sizeIfKnown() {
    return Optional.absent();

      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) {

      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) {

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

  }

  @GwtIncompatible // RegularImmutableSet.table not in emulation
  public void testResizeTable() {
    verifyTableSize(100, 2, 8);
    verifyTableSize(100, 5, 8);
    verifyTableSize(100, 33, 64);
    verifyTableSize(17, 17, 32);
    verifyTableSize(17, 16, 32);
    verifyTableSize(17, 15, 32);
  }

  @GwtIncompatible // RegularImmutableSet.table not in emulation

   * As such, this field must be cleared before every map mutation.
   *
   * Note about volatile: volatile doesn't make it safe to read from a mutable graph in one thread
   * while writing to it in another. All it does is help with _reading_ from multiple threads
   * concurrently. For more information, see AbstractNetworkTest.concurrentIteration.
   */

  }

  /** 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

  public boolean equals(@Nullable Object object) {
    return Maps.equalsImpl(this, object);
  }

  @Override
  public int hashCode() {
    // not caching hash code since it could change if map values are mutable
    // in a way that modifies their hash codes
    return entrySet().hashCode();
  }

  @Override
  public String toString() {
    return Maps.toStringImpl(this);
  }