public void testPartition_view() {
    List<Integer> list = asList(1, 2);
    Iterator<List<Integer>> partitions = Iterators.partition(list.iterator(), 1);

    // Changes before the partition is retrieved are reflected
    list.set(0, 3);
    List<Integer> first = partitions.next();

    // Changes after are not
    list.set(0, 4);

    assertEquals(ImmutableList.of(3), first);
  }

  public void testPartition_view() {
    List<Integer> list = asList(1, 2);
    Iterator<List<Integer>> partitions = Iterators.partition(list.iterator(), 1);

    // Changes before the partition is retrieved are reflected
    list.set(0, 3);
    List<Integer> first = partitions.next();

    // Changes after are not
    list.set(0, 4);

    assertEquals(ImmutableList.of(3), first);
  }

 *       period.
 * </ol>
 *
 * <p>The normalized values will be returned from {@link #toString()} and {@link #parts()}, and will
 * be reflected in the result of {@link #equals(Object)}.
 *
 * <p><a href="http://en.wikipedia.org/wiki/Internationalized_domain_name">Internationalized domain
 * names</a> such as {@code 网络.cn} are supported, as are the equivalent <a

   * process in any way, for example being sent over RPC, or saved to disk. For a general-purpose,
   * non-cryptographic hash function that will never change behavior, we suggest {@link
   * #murmur3_128}.
   *
   * <p>Repeated calls to this method on the same loaded {@code Hashing} class, using the same value
   * for {@code minimumBits}, will return identically-behaving {@link HashFunction} instances.
   *

		settings = ParseTagSetting(str, ",")
	)

	// optimize match english letters and midline
	// The following code is basically called in for.
	// In order to avoid the performance problems caused by repeated compilation of regular expressions,
	// it only needs to be done once outside, so optimization is done here.
	if idx != -1 && regEnLetterAndMidline.MatchString(str[0:idx]) {
		name = str[0:idx]
	} else {

To ensure that changes in the LDAP directory are reflected in object storage access changes, MinIO performs an **Automatic LDAP sync**. MinIO periodically queries the LDAP service to:

   * (unless they were already returned).
   *
   * The iterator supports [MutableIterator.remove]. Removing a URL from the iterator evicts the
   * corresponding response from the cache. Use this to evict selected responses.
   */
  @Throws(IOException::class)
  fun urls(): MutableIterator<String> {
    return object : MutableIterator<String> {
      private val delegate: MutableIterator<DiskLruCache.Snapshot> = cache.snapshots()

  @ArgumentsSource(FileSystemParamProvider::class)
  fun recoverFromInitializationFailure(parameters: Pair<FileSystem, Boolean>) {
    setUp(parameters.first, parameters.second)
    // Add an uncommitted entry. This will get detected on initialization, and the cache will
    // attempt to delete the file. Do not explicitly close the cache here so the entry is left as
    // incomplete.
    val creator = cache.edit("k1")!!

    }
  ],
  "refresh": "",
  "schemaVersion": 39,
  "tags": [
    "minio"
  ],
  "templating": {
    "list": [
      {
        "current": {
          "selected": false,
          "text": "All",
          "value": "$__all"
        },
        "label": "Data source",
        "name": "DS_PROMETHEUS",
        "options": [],
        "query": "prometheus",

   * this fluent iterable contains fewer than {@code numberToSkip} elements, the returned fluent
   * iterable skips all of its elements.
   *
   * <p>Modifications to this fluent iterable before a call to {@code iterator()} are reflected in
   * the returned fluent iterable. That is, the iterator skips the first {@code numberToSkip}
   * elements that exist when the iterator is created, not when {@code skip()} is called.
   *