new Murmur3_32HashFunction(0, /* supplementaryPlaneFix= */ true);

  // We can include the non-BMP fix here because Hashing.goodFastHash stresses that the hash is a
  // temporary-use one. Therefore it shouldn't be persisted.
  static final HashFunction GOOD_FAST_HASH_32 =
      new Murmur3_32HashFunction(Hashing.GOOD_FAST_HASH_SEED, /* supplementaryPlaneFix= */ true);

  private static final int CHUNK_SIZE = 4;

		{"SHØRT", 49},
		{"There are far too many object names, and far too few bucket names!", 8},
		{"a/b/c/", 159},
		{"/a/b/c", 96},
		{string([]byte{0xff, 0xfe, 0xfd}), 147},
	}

	// Tests hashing order to be consistent.
	for i, testCase := range testCases {
		if sipHashElement := hashKey("SIPMOD", testCase.objectName, 200, testUUID); sipHashElement != testCase.sipHash {

        assertTrue(exception instanceof Exception);
        assertTrue(exception instanceof Throwable);
    }

    public void test_throwAndCatch() {
        // Test throwing and catching PluginException
        String expectedMessage = "Plugin loading failed";

        try {
            throw new PluginException(expectedMessage);
        } catch (PluginException e) {

### Concurrency + Parallelism: Web + Machine Learning { #concurrency-parallelism-web-machine-learning }

With **FastAPI** you can take advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

Vamos colocar esses dados primeiro no modelo `UserInDB` do Pydantic.

Você nunca deve salvar senhas em texto simples, portanto, usaremos o sistema de hashing de senhas (falsas).

Se as senhas não corresponderem, retornaremos o mesmo erro.

#### Hashing de senha

"Hashing" significa: converter algum conteúdo (uma senha neste caso) em uma sequência de bytes (apenas uma string) que parece algo sem sentido.

     * pagination information including page numbers and result counts.
     *
     * @param fileConfigPager the pager containing search criteria and pagination settings
     * @return a list of file configurations matching the criteria
     */
    public List<FileConfig> getFileConfigList(final FileConfigPager fileConfigPager) {

        final PagingResultBean<FileConfig> fileConfigList = fileConfigBhv.selectPage(cb -> {

        // The exception should be serializable since it extends RuntimeException
        assertTrue(exception instanceof java.io.Serializable);
    }

    public void test_throwAndCatch() {
        // Test throwing and catching the exception
        String parentUrl = "http://example.com/parent";
        String url = "http://example.com/child";

        try {
            throw new ContentNotFoundException(parentUrl, url);

        // Both instances should be of the same class
        assertEquals(exception1.getClass(), exception2.getClass());
    }

    public void test_throwAndCatch() {
        // Test throwing and catching the exception
        String expectedMessage = "SSO configuration error";
        try {
            throw new SsoProcessException(expectedMessage);
        } catch (SsoProcessException e) {

     * @param argTypes
     *            The parameter types array
     * @return The {@link Constructor} object for the {@code public} constructor matching the specified {@code argTypes}
     * @throws NoSuchConstructorRuntimeException
     *             If a matching constructor is not found
     * @see Class#getConstructor(Class...)
     */

                foundTestMethod = true;
                break;
            }
        }
        assertTrue(foundTestMethod);
    }

    public void test_throwAndCatch() {
        // Test throwing and catching the exception
        String expectedMessage = "Offset limit exceeded: 10000";

        try {
            throw new ResultOffsetExceededException(expectedMessage);
        } catch (ResultOffsetExceededException e) {