// Cached subject is copied and visible via getSubject()
            Subject copySubj = copy.getSubject();
            assertNotNull(copySubj);
            assertSame(cachedOrig, copySubj, "Clone should share the cached Subject reference");

            // Refreshing the original must not clear the clone's cached subject
            orig.refresh();
            // Clone should retain its cached Subject

    val responsesNotClosed: MutableList<Response?> = ArrayList()
    client =
      client
        .newBuilder()
        // Since this test knowingly leaks a connection, avoid using the default shared connection
        // pool, which should remain clean for subsequent tests.
        .connectionPool(ConnectionPool())
        .addNetworkInterceptor(
          Interceptor { chain: Interceptor.Chain? ->

    // TODO check for Jvm or handle Long/long correctly
//    assertThat(request.tag(Long::class)).isSameAs(longTag)
  }

  /** Confirm that we don't accidentally share the backing map between objects. */
  @Test
  fun tagsAreImmutable() {
    val builder =
      Request
        .Builder()
        .url("https://square.com")

    /** Open function overwrite if exists */
    int OPEN_FUNCTION_OVERWRITE_IF_EXISTS = 0x0020;

    /** Process ID */
    int PID = (int) (Math.random() * 65536d);

    /** Share level security */
    int SECURITY_SHARE = 0x00;
    /** User level security */
    int SECURITY_USER = 0x01;

    /** Command offset in SMB header */
    int CMD_OFFSET = 4;

 * #runOneIteration} takes longer than its schedule defines, then subsequent executions may start
 * late. Also, all life cycle methods are executed with a lock held, so subclasses can safely modify
 * shared state without additional synchronization necessary for visibility to later executions of
 * the life cycle methods.
 *
 * <h3>Usage Example</h3>
 *

		total:             "Total memory on the node",
		memUsed:           "Used memory on the node",
		memUsedPerc:       "Used memory percentage on the node",
		memFree:           "Free memory on the node",
		memShared:         "Shared memory on the node",
		memBuffers:        "Buffers memory on the node",
		memCache:          "Cache memory on the node",
		memAvailable:      "Available memory on the node",
		readsPerSec:       "Reads per second on a drive",

    }

    @Test
    void testToStringWithDifferentPaths() {
        // Test with various path formats
        String[] testPaths = { "simple.txt", "path/to/file.doc", "//server/share/file.txt", "folder\\windows\\style.txt", "" // empty path
        };

        for (String path : testPaths) {
            trans2QueryPathInfo = new Trans2QueryPathInformation(config, path, TEST_INFO_LEVEL);

 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *
 * ```java
 * // The singleton HTTP client.
 * public final OkHttpClient client = new OkHttpClient();
 * ```
 *
 * Or use `new OkHttpClient.Builder()` to create a shared instance with custom settings:
 *
 * ```java
 * // The singleton HTTP client.

    /**
     * SMB command to close a find operation.
     */
    public static final byte SMB_COM_FIND_CLOSE2 = (byte) 0x34;

    /**
     * SMB command to disconnect from a tree share.
     */
    public static final byte SMB_COM_TREE_DISCONNECT = (byte) 0x71;

    /**
     * SMB command to negotiate protocol dialect.
     */
    public static final byte SMB_COM_NEGOTIATE = (byte) 0x72;

#### Docker Compose { #docker-compose }

You could be deploying to a **single server** (not a cluster) with **Docker Compose**, so you wouldn't have an easy way to manage replication of containers (with Docker Compose) while preserving the shared network and **load balancing**.

Then you could want to have **a single container** with a **process manager** starting **several worker processes** inside.

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