* {@link Cache#stats} will return zero for all statistics. Note that recording stats requires
   * bookkeeping to be performed with each operation, and thus imposes a performance penalty on
   * cache operation.
   *
   * @return this {@code CacheBuilder} instance (for chaining)
   * @since 12.0 (previously, stats collection was automatic)
   */
  @CanIgnoreReturnValue

  @Deprecated(
    message = "Moved to extension function.",
    replaceWith =
      ReplaceWith(
        expression = "callFactory.asEventSourceFactory()",
        imports = ["okhttp3.sse.EventSource.Factory.Companion.asEventSourceFactory"],
      ),
    level = DeprecationLevel.WARNING,
  )
  @JvmStatic

```Python hl_lines="3" title="app/routers/items.py"
{!../../docs_src/bigger_applications/app/routers/items.py!}
```

#### How relative imports work { #how-relative-imports-work }

/// tip

If you know perfectly how imports work, continue to the next section below.

///

A single dot `.`, like in:

```Python
from .dependencies import get_token_header
```

would mean:

You can calculate _approximate_ storage usage ratio using the formula - total drives (N) / data drives (D).

### Allowed values for STANDARD storage class

`STANDARD` storage class implies more parity than `REDUCED_REDUNDANCY` class. So, `STANDARD` parity drives should be

- Greater than or equal to 2, if `REDUCED_REDUNDANCY` parity is not set.
- Greater than `REDUCED_REDUNDANCY` parity, if it is set.

## Monitoring MinIO in Kubernetes

MinIO server exposes un-authenticated liveness endpoints so Kubernetes can natively identify unhealthy MinIO containers. MinIO also exposes Prometheus compatible data on a different endpoint to enable Prometheus users to natively monitor their MinIO deployments.

## Explore Further

/// check | Inspired **FastAPI** to

Define extra validations for data types using the "default" value of model attributes. This improves editor support, and it was not available in Pydantic before.

This actually inspired updating parts of Pydantic, to support the same validation declaration style (all this functionality is now already available in Pydantic).

      limiter.acquire(); // #3
    }

    limiter.setRate(4.0); // double the rate!
    limiter.acquire(); // #4, we repay the debt of the last acquire (imposed by the old rate)
    for (int i = 0; i < 4; i++) {
      limiter.acquire(); // #5
    }
    stopwatch.sleepMillis(4250); // #6, back to cold state (warmup period + repay last acquire)
    for (int i = 0; i < 11; i++) {

      limiter.acquire(); // #3
    }

    limiter.setRate(4.0); // double the rate!
    limiter.acquire(); // #4, we repay the debt of the last acquire (imposed by the old rate)
    for (int i = 0; i < 4; i++) {
      limiter.acquire(); // #5
    }
    stopwatch.sleepMillis(4250); // #6, back to cold state (warmup period + repay last acquire)
    for (int i = 0; i < 11; i++) {

        assertEquals("", blob.toString(), "toString() should be empty after set(null)");
    }

    // Verifies constructor stores the exact array reference and exposes it via get()
    @Test
    @DisplayName("Constructor stores and exposes same array reference")
    void constructor_and_get_referenceSemantics() {
        // Arrange
        byte[] data = new byte[] { (byte) 0xDE, (byte) 0xAD, (byte) 0xBE, (byte) 0xEF };

        } else {
            assertFalse(ts.contains(":"), "toString should not contain ':' when message is null");
        }
    }

    @Test
    @DisplayName("assertThrows captures and exposes the default message")
    void assertThrows_capturesDefaultMessage() {
        // Act & Assert
        SmbUnsupportedOperationException ex = assertThrows(SmbUnsupportedOperationException.class, () -> {