...
```

That confirms that you are being able to serve static files from your app, and that you placed the static files for the docs in the correct place.

Now we can configure the app to use those static files for the docs.

### Disable the automatic docs for static files { #disable-the-automatic-docs-for-static-files }

      assertErrorMessage(e, obj + " must not be Object#equals to null");
      return;
    }
    fail("Should get equal to null error");
  }

  /** Test proper handling where an object incorrectly tests for an incompatible class */
  public void testInvalidEqualsIncompatibleClass() {
    Object obj = new InvalidEqualsIncompatibleClassObject();
    equalsTester.addEqualityGroup(obj);
    try {

            // Verify correctness
            assertTrue(result.success(), "Result should be successful");
            assertEquals(largePomSet.size(), result.processedCount(), "Should have correct processed count");
        }
    }

Pydantic has an official <a href="https://docs.pydantic.dev/latest/migration/" class="external-link" target="_blank">Migration Guide</a> from v1 to v2.

It also includes what has changed, how validations are now more correct and strict, possible caveats, etc.

You can read it to understand better what has changed.

## Tests { #tests }

 * code, running tests, packaging the project, and deploying it. Executing a phase
 * triggers all preceding phases, ensuring that each step of the build process is
 * completed in the correct order. The three main lifecycles in Maven are
 * {@link #DEFAULT default}, {@link #CLEAN clean}, and {@link #SITE site}, with the
 * {@code default} lifecycle being the most commonly used for project builds.
 *
 * @since 4.0.0

        Future<?> possiblyIgnoredError = executor.submit(task);
      }
      awaitUnchecked(barrier);
      assertThat(future.isDone()).isTrue();
      // inspect state and ensure it is correct!
      // asserts that all get calling threads received the same value
      Object result = Iterables.getOnlyElement(finalResults);
      if (result == CancellationException.class) {
        assertTrue(future.isCancelled());

			return fmt.Errorf("xlMetaInlineData: %w", err)
		}
	}

	return nil
}

// repair will copy all seemingly valid data entries from a corrupted set.
// This does not ensure that data is correct, but will allow all operations to complete.
func (x *xlMetaInlineData) repair() {
	data := *x
	if len(data) == 0 {
		return
	}

	if !data.versionOK() {
		*x = nil
		return
	}

  # Install the necessary Python, unless it's already present
  pyenv install -s "$TFCI_PYTHON_VERSION"
  pyenv local "$TFCI_PYTHON_VERSION"
  # Do a sanity check to make sure that we using the correct Python version
  python --version
fi

# TFCI Mac VM images do not have twine installed by default so we need to
# install it manually. We use Twine in nightly builds to upload Python packages
# to PyPI.

* Ler o corpo da requisição como um JSON.
* Converter os tipos correspondentes (se necessário).
* Validar os dados.
    * Se algum dado for inválido, irá retornar um erro bem claro, indicando exatamente onde e o que estava incorreto.
* Entregar a você a informação recebida no parâmetro `item`.
    * Como você o declarou na função como do tipo `Item`, você também terá o suporte do editor (completação, etc) para todos os atributos e seus tipos.

			// Timeout if no results consumed for too long.
			case <-unconsumedTimer.C:
				h.mutex.Unlock()
				return errHealIdleTimeout
			}
		}
		break
	}

	// Set the correct result index for the new result item
	if itemsLen > 0 {
		r.ResultIndex = 1 + h.currentStatus.Items[itemsLen-1].ResultIndex
	} else {
		r.ResultIndex = 1 + h.lastSentResultIndex
	}

	// append to results