return asJson(
                new ApiResult.ApiConfigsResponse<EditBody>().settings(list.stream().map(this::createEditBody).collect(Collectors.toList()))
                        .total(pager.getAllRecordCount())
                        .status(ApiResult.Status.OK)
                        .result());
    }

    // GET /api/admin/fileconfig/setting/{id}
    /**

        return asJson(
                new ApiResult.ApiConfigsResponse<EditBody>().settings(list.stream().map(this::createEditBody).collect(Collectors.toList()))
                        .total(pager.getAllRecordCount())
                        .status(ApiResult.Status.OK)
                        .result());
    }

    /**
     * Retrieves a specific web configuration setting by ID.
     *

   */
  public double expectedFpp() {
    return Math.pow((double) bits.bitCount() / bitSize(), numHashFunctions);
  }

  /**
   * Returns an estimate for the total number of distinct elements that have been added to this
   * Bloom filter. This approximation is reasonably accurate if it does not exceed the value of
   * {@code expectedInsertions} that was used when constructing the filter.

    assertThat(inputStream!!.read()).isEqualTo('B'.code)
  }

  /**
   * Throttle the request body by sleeping 500ms after every 3 bytes. With a 6-byte request, this
   * should yield one sleep for a total delay of 500ms.
   */
  @Test
  fun throttleRequest() {
    assumeNotWindows()
    server.enqueue(
      MockResponse
        .Builder()
        .throttleBody(3, 500, TimeUnit.MILLISECONDS)

         */
        public int prefmaxlen;
        /**
         * DFS enumeration structure containing results
         */
        public DfsEnumStruct info;
        /**
         * Total number of entries available
         */
        public NdrLong totalentries;

        /**
         * Constructs a NetrDfsEnumEx request
         * @param dfs_name the DFS name to enumerate

   *
   * @param arrays zero or more {@code char} arrays
   * @return a single array containing all the values from the source arrays, in order
   * @throws IllegalArgumentException if the total number of elements in {@code arrays} does not fit
   *     in an {@code int}
   */
  public static char[] concat(char[]... arrays) {
    long length = 0;
    for (char[] array : arrays) {

   * c}}.
   *
   * @param arrays zero or more {@code short} arrays
   * @return a single array containing all the values from the source arrays, in order
   * @throws IllegalArgumentException if the total number of elements in {@code arrays} does not fit
   *     in an {@code int}
   */
  public static short[] concat(short[]... arrays) {
    long length = 0;
    for (short[] array : arrays) {

   * c}}.
   *
   * @param arrays zero or more {@code short} arrays
   * @return a single array containing all the values from the source arrays, in order
   * @throws IllegalArgumentException if the total number of elements in {@code arrays} does not fit
   *     in an {@code int}
   */
  public static short[] concat(short[]... arrays) {
    long length = 0;
    for (short[] array : arrays) {

     * <p>
     * This method fetches character mapping items with pagination support and updates
     * the pager with the current page information including total count and page ranges.
     * </p>
     *
     * @param dictId the dictionary ID to retrieve character mappings from
     * @param charMappingPager the pager object containing pagination parameters

MinIO protects data against hardware failures and silent data corruption using erasure code and checksums. With the highest level of redundancy, you may lose up to half (N/2) of the total drives and still be able to recover the data.

## What is Erasure Code?