CountDownLatch endLatch = new CountDownLatch(threadCount);
        AtomicInteger successCount = new AtomicInteger(0);
        List<Exception> exceptions = new ArrayList<>();

        // When - Multiple threads get and release buffers
        for (int t = 0; t < threadCount; t++) {
            executor.submit(() -> {
                try {
                    startLatch.await();

## Overview

MinIO implements an S3 extension to list, stat and download files inside a ZIP file stored in any bucket. A perfect use case scenario is when you have a lot of small files archived in multiple ZIP files. Uploading them is faster than uploading small files individually. Besides, your S3 applications will be able to access to the data with little performance overhead.

        assertTrue(exception.getStackTrace().length > 0);
    }

    public void test_multipleNestedExceptions() {
        // Test with multiple nested exceptions
        Exception innerCause = new IllegalArgumentException("Invalid image format");
        Exception middleCause = new RuntimeException("Processing failed", innerCause);

   *
   * Note about volatile: volatile doesn't make it safe to read from a mutable graph in one thread
   * while writing to it in another. All it does is help with _reading_ from multiple threads
   * concurrently. For more information, see AbstractNetworkTest.concurrentIteration.
   */
  private transient volatile @Nullable Entry<K, V> cacheEntry;

  MapIteratorCache(Map<K, V> backingMap) {

 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,
 * since an iteration across all row keys occurs.
 *
 * <p>Note that this implementation is not synchronized. If multiple threads access this table
 * concurrently and one of the threads modifies the table, it must be synchronized externally.
 *
 * <p>See the Guava User Guide article on <a href=

 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,
 * since an iteration across all row keys occurs.
 *
 * <p>Note that this implementation is not synchronized. If multiple threads access this table
 * concurrently and one of the threads modifies the table, it must be synchronized externally.
 *
 * <p>See the Guava User Guide article on <a href=

The same would happen if you had something like a <abbr title='A union between multiple types means "any of these types".'>union</abbr> between different types where one or more of them are not valid Pydantic types, for example this would fail 💥:

{* ../../docs_src/response_model/tutorial003_04_py310.py hl[8] *}

    // KGS!@#$%
    private static final byte[] S8 =
            { (byte) 0x4b, (byte) 0x47, (byte) 0x53, (byte) 0x21, (byte) 0x40, (byte) 0x23, (byte) 0x24, (byte) 0x25 };

    /* Accepts key multiple of 7
     * Returns enc multiple of 8
     * Multiple is the same like: 21 byte key gives 24 byte result
     */
    private static void E(final byte[] key, final byte[] data, final byte[] e) {
        final byte[] key7 = new byte[7];

   * across calls to multiple listeners. Specifically, a given listener will have its callbacks
   * invoked in the same order as the underlying service enters those states. Additionally, at most
   * one of the listener's callbacks will execute at once. However, multiple listeners' callbacks

            return buffer;
        }
    }

    @Nested
    @DisplayName("Integration Tests")
    class IntegrationTests {

        @Test
        @DisplayName("Should maintain state after multiple decodes")
        void testMultipleDecodes() throws SMBProtocolDecodingException {
            // First decode
            byte[] buffer1 = createValidCopyChunkResponse(1, 1024, 1024);