*         .addCopies(Bean.RED, 8)
   *         .addCopies(Bean.BLACK_EYED, 10)
   *         .build();
   * }
   *
   * <p>Builder instances can be reused; it is safe to call {@link #build} multiple times to build
   * multiple multisets in series.
   *
   * @since 2.0
   */
  public static class Builder<E> extends ImmutableCollection.Builder<E> {
    final Multiset<E> contents;

    /**

        handleLeaseBreak(key, newState);
    });
    
    try {
        future.get(5, TimeUnit.SECONDS);  // 5 second timeout
    } catch (TimeoutException e) {
        // Force lease release if break handling times out
        releaseLease(key);
        log.warn("Lease break timeout for key: {}", key);
    }
}
```

### 10.2 Fallback to Oplocks
```java

		t.Errorf("should find product, but got error %v", err)
	}

	if productWithItem.Item.AfterFindCallTimes != 0 {
		t.Fatalf("AfterFind should not be called times:%d", productWithItem.Item.AfterFindCallTimes)
	}
}

type Product5 struct {
	gorm.Model
	Name string
}

var beforeUpdateCall int

func (p *Product5) BeforeUpdate(*gorm.DB) error {

local storage (JBOD/JBOF) mapped as persistent local volumes. This architecture enables multi-tenant MinIO, allowing isolation of data between customers.

MinIO also supports multi-cluster, multi-site federation similar to AWS regions and tiers. Using MinIO Information Lifecycle Management (ILM), you can configure data to be tiered between NVMe based hot storage, and HDD based warm storage. All data is encrypted with per-object key. Access Control and Identity Management between the tenants...

     * Test transformer reusability
     */
    public void test_transformerReusability() {
        TestTransformer transformer = new TestTransformer("reusableTransformer");

        // Use transformer multiple times
        for (int i = 0; i < 10; i++) {
            ResponseData responseData = new ResponseData();
            responseData.setUrl("http://example.com/page" + i);

     }
    ```

    You may also skip the retry when you’ve hit an application-defined attempt limit:

    ```kotlin
    if (response.responseCount >= 3) {
      return null // If we've failed 3 times, give up.
    }
    ```

    This above code relies on this `responseCount` extension val:

    ```kotlin
    val Response.responseCount: Int

        body = "Please authenticate.",
      )
    // Fail auth three times...
    server.enqueue(pleaseAuthenticate)
    server.enqueue(pleaseAuthenticate)
    server.enqueue(pleaseAuthenticate)
    // ...then succeed the fourth time.
    server.enqueue(
      MockResponse(body = "Successful auth!"),
    )

  //   so that it looks like we timed out even though we didn't. For comparison FutureTask respects
  //   completion preferably and AQS is non-deterministic (depends on where in the queue the waiter
  //   is). If we wanted to be strict about it, we could store the unpark() time in the Waiter node
  //   and we could use that to make a decision about whether or not we timed out prior to being
  //   unparked.

        }
    }

    /**
     * Encrypt using AES-GCM with constant-time operations
     */
    private EncryptionResult encryptWithGCM(byte[] message, byte[] nonce, byte[] associatedData) throws Exception {
        final Cipher cipher = createGCMCipher(true, nonce);
        cipher.updateAAD(associatedData);

        // Use constant-time encryption
        final byte[] encrypted = performConstantTimeEncryption(cipher, message);

   * {@code Set}.
   *
   * <p>The function is applied lazily, invoked when needed. This is necessary for the returned
   * multimap to be a view, but it means that the function will be applied many times for bulk
   * operations like {@link Multimap#containsValue} and {@code Multimap.toString()}. For this to
   * perform well, {@code function} should be fast. To avoid lazy evaluation when the returned