public final int port;

  public SlackApi(String clientId, String clientSecret, int port) {
    this.httpClient = new OkHttpClient.Builder()
        .build();
    this.moshi = new Moshi.Builder()
        .add(new SlackJsonAdapters())
        .build();
    this.clientId = clientId;
    this.clientSecret = clientSecret;
    this.port = port;
  }

  /** See https://api.slack.com/docs/oauth. */

            String s = updatePolicy.substring(UPDATE_POLICY_INTERVAL.length() + 1);
            int minutes = Integer.parseInt(s);
            Calendar cal = Calendar.getInstance();
            cal.add(Calendar.MINUTE, -minutes);
            if (cal.getTime().after(lastModified)) {
                checkForUpdates = true;
            }
        }
        // else assume "never"
        return checkForUpdates;

      multimap.put(entry.getKey(), entry.getValue());
    }
    List<String> actualKeys = new ArrayList<>();
    multimap.keys().spliterator().forEachRemaining(actualKeys::add);
    assertThat(actualKeys)
        .containsExactlyElementsIn(transform(expectedEntries, Entry::getKey))
        .inOrder();
  }

  public void testEntriesSpliterator() {

alias kv-pairify='yq ".configuration[]" | jq ".[]" | jq -r ".name + \"=\" + .value"'
```

Let's take for example a set of 12 compute nodes with an aggregate memory of _1.2TiB_, we need to do following settings for optimal results. Add the following optimal entries for _core-site.xml_ to configure _s3a_ with **MinIO**. Most important options here are

```
cat ${HADOOP_CONF_DIR}/core-site.xml | kv-pairify | grep "mapred"

    createNewCacheWithSize(Int.MAX_VALUE)
  }

  private fun createNewCacheWithSize(maxSize: Int) {
    cache =
      DiskLruCache(filesystem, cacheDir, appVersion, 2, maxSize.toLong(), taskRunner).also {
        toClose.add(it)
      }
    synchronized(cache) { cache.initialize() }
  }

  fun setUp(
    baseFilesystem: FileSystem,
    windows: Boolean,
  ) {
    this.cacheDir =

    }

    /**
     * 初期化を行ないます。
     */
    public static void initialize() {
        synchronized (BeanDescFactory.class) {
            if (!initialized) {
                DisposableUtil.add(BeanDescFactory::clear);
                initialized = true;
            }
        }
    }

    /**
     * キャッシュをクリアします。
     */
    public static void clear() {
        beanDescCache.clear();

        do {
            FileBothDirectoryInfo cur = createFileInfo();
            if ( cur == null ) {
                break;
            }
            cur.decode(buffer, bufferIndex, bufferLength);
            infos.add(cur);
            int nextEntryOffset = cur.getNextEntryOffset();
            if ( nextEntryOffset > 0 ) {
                bufferIndex += nextEntryOffset;
            }
            else {
                break;

        List<CtClass> classesContainingMethod = []

        CtClass current = c
        while (current != null) {
            if (containsMethod(current, method)) {
                classesContainingMethod.add(current)
            } else {
                break
            }
            current = current.getSuperclass()
        }

        for (int i = classesContainingMethod.size() - 1; i > 0; --i) {

    # ℹ️ Command-line programs to run using the OS shell.
    # 📚 https://git.io/JvXDl

    # ✏️ If the Autobuild fails above, remove it and uncomment the following three lines
    #    and modify them (or add more) to build your code if your project
    #    uses a compiled language

    #- run: |
    #   make bootstrap
    #   make release

    - name: Perform CodeQL Analysis

    int expectedHashCode = 0;
    for (E element : elements) {
      expectedHashCode += ((element == null) ? 0 : element.hashCode());
    }

    elements.add(null);
    collection = getSubjectGenerator().create(elements.toArray());
    assertEquals(
        "A Set's hashCode() should be the sum of those of its elements (with "