all `OkHttpClient` instances shared a common connection pool by default.
    In OkHttp 3.x, each new `OkHttpClient` gets its own private connection pool.
    Applications should avoid creating many connection pools as doing so
    prevents connection reuse. Each connection pool holds its own set of
    connections alive so applications that have many pools also risk exhausting
    memory!

 * loading), and fewer <a
 * href="https://github.com/google/guava/issues?q=is%3Aopen+is%3Aissue+label%3Apackage%3Dcache+label%3Atype%3Ddefect">bugs</a>.
 *
 * <p>Caffeine defines its own interfaces (<a
 * href="https://www.javadoc.io/doc/com.github.ben-manes.caffeine/caffeine/latest/com.github.benmanes.caffeine/com/github/benmanes/caffeine/cache/Cache.html">{@code
 * Cache}</a>, <a

		return
	}

	checkDenyOnly := false
	if name == cred.AccessKey {
		// Check that there is no explicit deny - otherwise it's allowed
		// to view one's own info.
		checkDenyOnly = true
	}

	if !globalIAMSys.IsAllowed(policy.Args{
		AccountName:     cred.AccessKey,
		Groups:          cred.Groups,
		Action:          policy.GetUserAdminAction,

    return Types.toString(runtimeType);
  }

  /** Implemented to support serialization of subclasses. */
  protected Object writeReplace() {
    // TypeResolver just transforms the type to our own impls that are Serializable
    // except TypeVariable.
    return of(new TypeResolver().resolveType(runtimeType));
  }

  /**

 *
 * ## OkHttpClients Should Be Shared
 *
 * OkHttp performs best when you create a single `OkHttpClient` instance and reuse it for all of
 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *

/// the struct pointer (e.g., when a file type is not supported).
///
/// DEFAULT IMPLEMENTATIONS: Some operations have default implementations that
/// TensorFlow uses in case the plugin doesn't supply its own version. An
/// operation `foo` might have a default implementation which uses `bar` and
/// `foobar`. If the plugin supplies `bar` and `foobar`, TensorFlow can use the
/// default implementation of `foo`.
///

            // and the only FIR that we have for that PSI is an implicit invoke call, that means that
            // `Foo.Bar` is definitely not a property access - otherwise it would have had its own FIR.
            // So, it does not make sense to try to resolve such parts of qualifiers as KtCall
            if ((psi as? KtExpression)?.getPossiblyQualifiedCallExpression() == null) {
                return null

   * String a3 = peekingIterator.next(); // also returns "a"
   * }</pre>
   *
   * <p>Any structural changes to the underlying iteration (aside from those performed by the
   * iterator's own {@link PeekingIterator#remove()} method) will leave the iterator in an undefined
   * state.
   *
   * <p>The returned iterator does not support removal after peeking, as explained by {@link
   * PeekingIterator#remove()}.

    from fastapi import Depends, FastAPI

    from .db import User
    from .security import get_current_active_user

    app = FastAPI()

    @app.get("/users/me/items/")
    async def read_own_items(
        current_user: Annotated[User, Security(get_current_active_user, scopes=["items"])]
    ):
        return [{"item_id": "Foo", "owner": current_user.username}]
    ```
    """

   * @throws IllegalStateException if the {@code Future} is not done
   * @since 20.0
   */
  @CanIgnoreReturnValue
  // TODO(cpovirk): Consider calling getDone() in our own code.
  @ParametricNullness
  public static <V extends @Nullable Object> V getDone(Future<V> future) throws ExecutionException {
    /*