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.

import org.codelibs.fess.unit.UnitFessTestCase;

public class WebApiManagerTest extends UnitFessTestCase {

    public void test_matches_withPathBasedImplementation() {
        // Test simple path-based matching
        WebApiManager manager = new TestWebApiManager("/api/v1");

        TestHttpServletRequest request = new TestHttpServletRequest();
        request.setRequestURI("/api/v1/search");

                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) {

        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) {

    String allMatchingChars = allMatchingChars(bitSet);
    char[] result = new char[STRING_LENGTH];
    // Fill with matching chars.
    for (int i = 0; i < result.length; i++) {
      result[i] = allMatchingChars.charAt(random.nextInt(allMatchingChars.length()));
    }
    // Replace some of chars by non-matching.
    int remaining = (int) ((100 - percentMatching) * result.length / 100.0 + 0.5);
    while (remaining > 0) {

     * @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...)
     */

      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;

-postgres-and-aws-app-runner-at-any-scale title: Deploy a Serverless FastAPI App with Neon Postgres and AWS App Runner at any scale - author: Kurtis Pykes - NVIDIA link: https://developer.nvidia.com/blog/building-a-machine-learning-microservice-with-fastapi/ title: Building a Machine Learning Microservice with FastAPI - author: Ravgeet Dhillon - Twilio link: https://www.twilio.com/en-us/blog/booking-appointments-twilio-notion-fastapi title: Booking Appointments with Twilio, Notion, and FastAPI -...

     * mirror, its URL and ID will be updated to match the values from the mirror specification. Repositories without a
     * matching mirror will pass through unchanged. Note: This method must be called before
     * {@link #injectAuthentication(List, List)} or the repositories will end up with the wrong credentials.
     *

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

    public void test_throwAndCatch() {
        // Test throwing and catching the exception
        String message = "Throw and catch test";

        try {
            throw new SearchEngineClientException(message);
        } catch (SearchEngineClientException e) {