replication failures are picked up by the scanner which runs at a one minute frequency, each time scanning up to a sixteenth of the namespace. Object versions marked `PENDING` or `FAILED` are re-queued for replication.

Replication speed depends on the cluster load, number of objects in the object store as well as storage speed. In addition, any bandwidth limits set via `mc admin bucket remote add` could also contribute to replication speed. The number of workers used for replication defaults...

 * attributes of this artifact.
 *
 * TODO I think this exposes a design flaw in that the immutable and mutable parts of an artifact are in one class and
 * should be split. ie scope, file, etc depend on the context of use, whereas everything else is immutable.
 */
@Deprecated
public class ActiveProjectArtifact implements Artifact {
    private final Artifact artifact;

    private final MavenProject project;

  using file:// or not residing on a local (not shared) filesystem will
  be unavailable.


* Implications for Mojo Execution

** Deployment mojos

  The concept of deployment is dependent on the availability of a some
  remote repository. Just as above, if that repository is not using
  file:// (which is highly likely to be the case), or the repository is

 * take advantage of the {@linkplain Futures utilities built atop the class}. The way that you will
 * create {@code ListenableFuture} instances depends on how you currently create {@code Future}
 * instances:
 *
 * <ul>
 *   <li>If you receive them from an {@code java.util.concurrent.ExecutorService}, convert that

 * take advantage of the {@linkplain Futures utilities built atop the class}. The way that you will
 * create {@code ListenableFuture} instances depends on how you currently create {@code Future}
 * instances:
 *
 * <ul>
 *   <li>If you receive them from an {@code java.util.concurrent.ExecutorService}, convert that

 * directory to a method in the application interface?
 *
 * - research extension points versus plugins
 *
 * from igor: two plugins A and B, both depend on the same library but use different versions, say
 * lib 1.0 and lib 2.0 when debugger hits a breakpoint inside a class from the library, IDE needs to
 * know which version of library the class comes from
 */

 * invoke methods, they invoke methods on the {@code ForwardingMultiset}.
 *
 * <p>The {@code standard} methods and any collection views they return are not guaranteed to be
 * thread-safe, even when all of the methods that they depend on are thread-safe.
 *
 * @author Kevin Bourrillion
 * @author Louis Wasserman
 * @since 2.0
 */
@GwtCompatible
public abstract class ForwardingMultiset<E extends @Nullable Object> extends ForwardingCollection<E>

///

変数`oauth2_scheme`は`OAuth2PasswordBearer`のインスタンスですが、「呼び出し可能」です。

次のように、呼ぶことができます:

```Python
oauth2_scheme(some, parameters)
```

そのため、`Depends`と一緒に使うことができます。

### 使い方

これで`oauth2_scheme`を`Depends`で依存関係に渡すことができます。

{* ../../docs_src/security/tutorial001.py hl[10] *}

この依存関係は、*path operation function*のパラメーター`token`に代入される`str`を提供します。

    if (expected != actual) {
      fail("Expected for " + a + " " + op + " " + b + " = " + expected + ", but got " + actual);
    }
  }

  // Depends on the correctness of BigIntegerMath.factorial.
  public void testFactorial() {
    for (int n = 0; n <= 50; n++) {
      BigInteger expectedBig = BigIntegerMath.factorial(n);

高度なシナリオでは、「キャッシュされた」値を使うのではなく、同じリクエストの各ステップ（おそらく複数回）で依存関係を呼び出す必要があることがわかっている場合、`Depens`を使用する際に、`use_cache=False`というパラメータを設定することができます。

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
    return {"fresh_value": fresh_value}
```

## まとめ

ここで使われている派手な言葉は別にして、**依存性注入** システムは非常にシンプルです。