* @param fields Array of field names to include in the results
     * @param userBean Optional user information for permission checking
     * @param searchRequestType Type of search request for role-based access control
     * @return List of document data maps
     */
    public List<Map<String, Object>> getDocumentListByDocIds(final String[] docIds, final String[] fields,

  }

  private <T> T pickInstance(Collection<T> instances, T defaultValue) {
    if (instances.isEmpty()) {
      return defaultValue;
    }
    // generateInt() is 1-based.
    return Iterables.get(instances, (generateInt() - 1) % instances.size());
  }

  private static String paramString(Class<?> type, int i) {
    return type.getSimpleName() + '@' + i;
  }

  /**

   */
  @Override
  int size();

  /**
   * Returns the number of occurrences of an element in this multiset (the <i>count</i> of the
   * element). Note that for an {@link Object#equals}-based multiset, this gives the same result as
   * {@link Collections#frequency} (which would presumably perform more poorly).
   *
   * <p><b>Note:</b> the utility method {@link Iterables#frequency} generalizes this operation; it

# AssumeRoleWithLDAPIdentity [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

## Introduction

MinIO provides a custom STS API that allows integration with LDAP based corporate environments including Microsoft Active Directory. The MinIO server uses a separate LDAP service account to lookup user information. The login flow for a user is as follows:

- User provides their AD/LDAP username and password to the STS API.

* If you are feeling too generous, you can try to **create an example** like that yourself, just based on the description of the problem. Just keep in mind that this might take a lot of time and it might be better to ask them to clarify the problem first.

### Suggest solutions { #suggest-solutions }

   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.LinkedHashMap-based
   * implementation. Experimentally determined.
   */
  private static final int MAX_HASH_BUCKET_LENGTH = 9;

  // The way the `table`, `entries`, `keys`, and `values` arrays work together is as follows.
  //

- **簡単**: 簡単に利用、習得できるようにデザインされています。ドキュメントを読む時間を削減します。
- **短い**: コードの重複を最小限にしています。各パラメータからの複数の機能。少ないバグ。
- **堅牢性**: 自動対話ドキュメントを使用して、本番環境で使用できるコードを取得します。

			expectedRespStatus: http.StatusNotFound,
		},
	}

	for i, testCase := range testCases {
		var req *http.Request
		var actualContent []byte

		// Generate a signed or anonymous request based on the testCase
		if testCase.accessKey != "" {
			req, err = newTestSignedRequestV4(http.MethodPost, getDeleteMultipleObjectsURL("", testCase.bucket),

	b.uint16(h.Flags)
	b.uint16(h.Method)
	b.uint16(h.ModifiedTime)
	b.uint16(h.ModifiedDate)
	// In raw mode (caller does the compression), the values are either
	// written here or in the trailing data descriptor based on the header
	// flags.
	if h.raw && !h.hasDataDescriptor() {
		b.uint32(h.CRC32)
		b.uint32(uint32(min(h.CompressedSize64, uint32max)))
		b.uint32(uint32(min(h.UncompressedSize64, uint32max)))
	} else {

// but merges the input shape with the existing shape.  For example,
// setting a shape of [-1, 2] with an existing shape [2, -1] would set
// a final shape of [2, 2] based on shape merging semantics.
//
// Returns an error into `status` if:
//   * `output` is not in `graph`.
//   * An invalid shape is being set (e.g., the shape being set
//     is incompatible with the existing shape).