اگر نیاز دارید که دو برنامه مستقل FastAPI، با OpenAPI مستقل و رابط‌های کاربری اسناد خود داشته باشید، می‌توانید یک برنامه
اصلی داشته باشید و یک (یا چند) زیر برنامه را به آن متصل کنید.

## اتصال (mount) به یک برنامه **FastAPI**

کلمه "Mounting" به معنای افزودن یک برنامه کاملاً مستقل در یک مسیر خاص است، که پس از آن مدیریت همه چیز در آن مسیر، با path operations (عملیات های مسیر) اعلام شده در آن زیر برنامه می باشد.

### برنامه سطح بالا

      @Nullable Comparator<? super R> rowComparator,
      @Nullable Comparator<? super C> columnComparator) {
    checkNotNull(cells);
    if (rowComparator != null || columnComparator != null) {
      /*
       * This sorting logic leads to a cellSet() ordering that may not be expected and that isn't
       * documented in the Javadoc. If a row Comparator is provided, cellSet() iterates across the

        public boolean reportProblem(P problem) {
            requireNonNull(problem, "problem");
            // first apply filter
            if (!filter.test(problem)) {
                // drop without counting towards preserved problems
                return false;
            }
            int currentCount = totalCount.incrementAndGet();
            getCounter(problem.getSeverity()).increment();

    @Override
    int writeParameterWordsWireFormat(final byte[] dst, int dstIndex) {
        final int start = dstIndex;

        dst[dstIndex] = (byte) 0x00;
        dstIndex++;
        // name length without counting null termination
        namelen_index = dstIndex;
        dstIndex += 2;
        writeInt4(flags0, dst, dstIndex);
        dstIndex += 4;
        writeInt4(rootDirectoryFid, dst, dstIndex);
        dstIndex += 4;

        ? ImmutableList.<E>of()
        : ImmutableList.<E>construct(elements.clone());
  }

  /**
   * Returns an immutable list containing the given elements, sorted according to their natural
   * order. The sorting algorithm used is stable, so elements that compare as equal will stay in the
   * order in which they appear in the input.
   *
   * <p>If your data has no duplicates, or you wish to deduplicate elements, use {@code

    ArrayList<ListenableFuture<Integer>> lengthChecks = new ArrayList<>();
    List<Integer> completeLengthChecks;
    int baseStackDepth;
    ExecutorService service = newFixedThreadPool(5);
    try {
      // Avoid counting frames from the executor itself, or the ExecutionSequencer
      baseStackDepth =
          serializer
              .submit(
                  new Callable<Integer>() {
                    @Override

 * if any intersection is found. The sizes of both arguments are assumed to be so small, and the
 * likelihood of an intersection so great, that it is not worth the CPU cost of sorting or the
 * memory cost of hashing.
 */
internal fun Array<String>.hasIntersection(
  other: Array<String>?,
  comparator: Comparator<in String>,
): Boolean {
  if (isEmpty() || other == null || other.isEmpty()) {

// using a delete-marker and MetaSys entries. It's used to track tiered content of a
// deleted/overwritten version. This version is visible _only_to the scanner routine, for subsequent deletion.
// This kind of tracking is necessary since a version's tiered content is deleted asynchronously.

// Backend directory tree structure:
// disk1/
// └── bucket
//     └── object

state = "Example"

# The country of the subject. Two letter code.
country = "EX"

# The common name of the certificate owner.
cn = "Sally Certowner"

# In how many days, counting from today, this certificate will expire.
expiration_days = 365

# X.509 v3 extensions

# DNS name(s) of the server
dns_name = "localhost"

# (Optional) Server IP address
ip_address = "127.0.0.1"

### High availability

A stand-alone MinIO server would go down if the server hosting the drives goes offline. In contrast, a distributed MinIO setup with _m_ servers and _n_ drives will have your data safe as long as _m/2_ servers or _m*n_/2 or more drives are online.