/**
   * Records an exception so that it can be rethrown later in the test harness thread, triggering a
   * test case failure. Only the first failure is recorded; subsequent calls to this method from
   * within the same test have no effect.
   */
  final void threadRecordFailure(Throwable t) {
    threadFailure.compareAndSet(null, t);
  }

  /**

        SmbShareInfo info = new SmbShareInfo(TEST_NET_NAME, TEST_TYPE, TEST_REMARK);
        int hashCode1 = info.hashCode();
        int hashCode2 = info.hashCode();

        // Multiple calls should return same value
        assertEquals(hashCode1, hashCode2);
    }

    @Test
    @DisplayName("Test toString method")
    void testToString() {

MockWebServer
=============

A scriptable web server for testing HTTP clients


### Motivation

This library makes it easy to test that your app Does The Right Thing when it
makes HTTP and HTTPS calls. It lets you specify which responses to return and
then verify that requests were made as expected.

Because it exercises your full HTTP stack, you can be confident that you're

///

## その他の非同期関数呼び出し { #other-asynchronous-function-calls }

テスト関数が非同期になったので、FastAPI アプリへのリクエスト送信以外の `async` 関数も、コードの他の場所と同様に呼び出して（`await` して）使えます。

/// tip | 豆知識

    "I",  # isort
    "B",  # flake8-bugbear
    "C4",  # flake8-comprehensions
    "UP",  # pyupgrade
]
ignore = [
    "E501",  # line too long, handled by black
    "B008",  # do not perform function calls in argument defaults
    "C901",  # too complex
    "W191",  # indentation contains tabs
]

[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["F401"]

      }
      if (scheduleEventRunner) {
        try {
          executor.execute(this);
        } catch (Exception e) { // sneaky checked exception
          // reset state in case of an error so that later dispatch calls will actually do something
          synchronized (this) {
            isThreadScheduled = false;
          }
          // Log it and keep going.
          logger
              .get()
              .log(

        assertEquals(200, dfsRootEnum.info.level);
        assertNotNull(dfsRootEnum.info.e);
    }

    @Test
    @DisplayName("getEntries should return consistent results on multiple calls")
    void testGetEntries_multipleCallsConsistency() throws Exception {
        // Setup test data
        netdfs.DfsEnumArray200 testArray = new netdfs.DfsEnumArray200();
        testArray.count = 2;

        // Assert
        assertNotNull(testResponse);
    }

    @Test
    @DisplayName("Test toString consistency across multiple calls")
    void testToStringConsistency() {
        // Act
        String result1 = response.toString();
        String result2 = response.toString();

        // Assert
        assertEquals(result1, result2);

	peerMetricsGroups       []*MetricsGroupV2
	bucketPeerMetricsGroups []*MetricsGroupV2
)

// v2MetricsMaxBuckets enforces a bucket count limit on metrics for v2 calls.
// If people hit this limit, they should move to v3, as certain calls explode with high bucket count.
const v2MetricsMaxBuckets = 100

func init() {
	clusterMetricsGroups := []*MetricsGroupV2{

     */
    protected abstract String getExecuteType();

    /**
     * Executes the job with the specified job executor.
     * This method sets the job executor and then calls the abstract execute method.
     *
     * @param jobExecutor the job executor to use for execution
     * @return the execution result message or summary
     */
    public String execute(final JobExecutor jobExecutor) {