public
  static HashCode hash(File file, HashFunction hashFunction) throws IOException {
    return asByteSource(file).hash(hashFunction);
  }

  /**
   * Fully maps a file read-only in to memory as per {@link
   * FileChannel#map(java.nio.channels.FileChannel.MapMode, long, long)}.
   *
   * <p>Files are mapped from offset 0 to its length.
   *
   * <p>This only works for files ≤ {@link Integer#MAX_VALUE} bytes.

   *       and virtual memory, this is not a problem - because it is mapped read-only, the kernel
   *       can always page it to disk "for free". However, on systems where killing processes
   *       happens all the time in normal conditions (i.e., android) the OS must make a tradeoff

# Tutorial - Guía del Usuario { #tutorial-user-guide }

Este tutorial te muestra cómo usar **FastAPI** con la mayoría de sus funcionalidades, paso a paso.

Cada sección se basa gradualmente en las anteriores, pero está estructurada para separar temas, de manera que puedas ir directamente a cualquier sección específica para resolver tus necesidades específicas de API.

Você também pode usar `from starlette.middleware.cors import CORSMiddleware`.

**FastAPI** fornece vários middlewares em `fastapi.middleware` apenas como uma conveniência para você, o desenvolvedor. Mas a maioria dos middlewares disponíveis vêm diretamente da Starlette.

现在仍然是对的。

因此，为了能够同时拥有**多个进程**，必须有一个**单个进程侦听端口**，然后以某种方式将通信传输到每个工作进程。

### 每个进程的内存 { #memory-per-process }

现在，当程序将内容加载到内存中时，例如，将机器学习模型加载到变量中，或者将大文件的内容加载到变量中，所有这些都会消耗服务器的一点内存 (RAM) 。

多个进程通常**不共享任何内存**。 这意味着每个正在运行的进程都有自己的东西、变量和内存。 如果您的代码消耗了大量内存，**每个进程**将消耗等量的内存。

### 服务器内存 { #server-memory }

       * If we make some other optimizations, this one will no longer be necessary. The optimization
       * could actually hurt in some cases, as it forces us to keep all inputs in memory until the
       * final input completes.
       */
      @RetainedLocalRef
      ImmutableCollection<? extends ListenableFuture<? extends InputT>> localFutures = futures;

     * <p>This method returns all duplicate host configurations in the system,
     * ordered by sort order, regular name, and duplicate hostname. The results
     * are limited by the configured maximum fetch size to prevent memory issues.</p>
     *
     * @return a list of all DuplicateHost entities
     */
    public List<DuplicateHost> getDuplicateHostList() {

        return duplicateHostBhv.selectList(cb -> {

        // Check for common stats fields (these may need to be adjusted based on actual implementation)
        // Examples of fields that might be present:
        // - Document count
        // - Index size
        // - Memory usage
        // - System stats
        // etc.

        for (Map.Entry<String, Object> entry : res.entrySet()) {
            logger.info("Stats field: {} = {}", entry.getKey(), entry.getValue());
        }

            assertEquals(runtimeException, exception.getCause());
        });

        // Test with error
        Error error = new OutOfMemoryError("Out of memory");
        assertDoesNotThrow(() -> {
            RuntimeCIFSException exception = new RuntimeCIFSException(error);
            assertEquals(error, exception.getCause());
        });
    }

    @Test

    private AutoCloseable mocks;

    @BeforeEach
    public void setUp() throws Exception {
        mocks = MockitoAnnotations.openMocks(this);

        // Set up mock provider to return TCP memory regions
        when(mockProvider.registerMemory(any(ByteBuffer.class), any())).thenAnswer(invocation -> {
            ByteBuffer buffer = invocation.getArgument(0);
            EnumSet<RdmaAccess> access = invocation.getArgument(1);