import org.junit.jupiter.api.io.TempDir;

import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertTrue;

/**
 * Integration tests for the complete upgrade workflow.
 * These tests verify end-to-end behavior with real strategy implementations.
 */
@DisplayName("Upgrade Workflow Integration")
class UpgradeWorkflowIntegrationTest {

    @TempDir
    Path tempDir;

<font color="#4E9A06">INFO</font>:     Started server process [<font color="#06989A">2265873</font>]
<font color="#4E9A06">INFO</font>:     Waiting for application startup.
<font color="#4E9A06">INFO</font>:     Application startup complete.
</pre>
```

</div>

**強烈建議**你編寫或複製程式碼、進行修改並在本地端運行。

在編輯器中使用它，才能真正體會到 FastAPI 的好處，可以看到你只需編寫少量程式碼，以及所有的型別檢查、自動補齊等功能。

---

## 安裝 FastAPI

第一步是安裝 FastAPI。

  }

  /**
   * Computes a hash code based on the data that have been provided to this hasher. This is called
   * after all chunks are handled with {@link #process} and any leftover bytes that did not make a
   * complete chunk are handled with {@link #processRemaining}.
   */
  protected abstract HashCode makeHash();

  // Process pent-up data in chunks
  private void munchIfFull() {
    if (buffer.remaining() < 8) {

  the user should see now the buckets and objects they have access to.

## Explore Further

- [MinIO Admin Complete Guide](https://docs.min.io/community/minio-object-store/reference/minio-mc-admin.html)

./mc ls -r --versions myminio/versioned/ >expanded_ns_versions.txt

./mc admin decom start myminio/ http://localhost:9000/tmp/xl/{1...10}/disk{0...1}

count=0
until $(./mc admin decom status myminio/ | grep -q Complete); do
	echo "waiting for decom to finish..."
	count=$((count + 1))
	if [ ${count} -eq 120 ]; then
		./mc cat /tmp/expanded_*.log
	fi
	sleep 1
done

kill $pid_1
kill $pid_2

sleep 5

    }

    @Test
    void testCompleteWireFormatRoundTrip() {
        trans2QueryPathInfo = new Trans2QueryPathInformation(config, TEST_FILENAME, TEST_INFO_LEVEL);

        // Test complete wire format writing
        byte[] setupBuffer = new byte[256];
        byte[] paramBuffer = new byte[512];
        byte[] dataBuffer = new byte[256];

Use MockWebServer the same way that you use mocking frameworks like
[Mockito](https://github.com/mockito/mockito):

1. Script the mocks.
2. Run application code.
3. Verify that the expected requests were made.

Here's a complete example:

### Java
```java
public void test() throws Exception {
  // Create a MockWebServer. These are lean enough that you can create a new
  // instance for every unit test.

   * segments, each governed by its own write lock. The segment lock is taken once for each explicit
   * write, and twice for each cache loading computation (once prior to loading the new value, and
   * once after loading completes). Much internal cache management is performed at the segment
   * granularity. For example, access queues and write queues are kept per segment when they are

        ) {
          result.flush()
          handleSocketEffect(socketEffect, socket, stream)
        }
    }

    return result
  }

  /** Returns true if processing this exchange is complete. */
  private fun handleSocketEffect(
    effect: SocketEffect?,
    socket: MockWebServerSocket,
    stream: Http2Stream? = null,
  ): Boolean {
    if (effect == null) return false

    when (effect) {

Am häufigsten ist der „Implicit“-Flow.

Am sichersten ist der „Code“-Flow, die Implementierung ist jedoch komplexer, da mehr Schritte erforderlich sind. Da er komplexer ist, schlagen viele Anbieter letztendlich den „Implicit“-Flow vor.

/// note | Hinweis