throw new IOException("Convert failed");
            }
            return Collections.emptyList();
        }
    }

    /**
     * Test implementation with custom max reading limit
     */
    private static class TestReadingConverterWithLimit implements ReadingConverter {

        @Override
        public int getMaxReadingNum() {
            return 5;
        }

Nós criamos uma função assíncrona `lifespan()` com `yield` assim:

{* ../../docs_src/events/tutorial003_py39.py hl[16,19] *}

Aqui estamos simulando a operação de *inicialização* custosa de carregar o modelo, colocando a (falsa) função do modelo no dicionário com modelos de machine learning antes do `yield`. Esse código será executado **antes** de a aplicação **começar a receber requisições**, durante a *inicialização*.

        if (mojoExecutionConfigurator == null) {
            //
            // The plugin has a custom component configurator but does not have a custom mojo execution configurator
            // so fall back to the default mojo execution configurator.
            //
            mojoExecutionConfigurator = mojoExecutionConfigurators.get("default");

    * Custom apiservers built with the latest apiserver library will have the 100MB limit on the body of resource requests as well. The limit can be altered via ServerRunOptions.MaxRequestBodyBytes.

		Description:    "Requests specifying Server Side Encryption with Customer provided keys must provide an appropriate secret key.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrMissingSSECustomerKeyMD5: {
		Code:           "InvalidArgument",
		Description:    "Requests specifying Server Side Encryption with Customer provided keys must provide the client calculated MD5 of the secret key.",

Vor FastAPI 0.106.0 war das Werfen von Exceptions nach `yield` nicht möglich, der Exit-Code in Abhängigkeiten mit `yield` wurde ausgeführt, nachdem die Response gesendet wurde, sodass [Exceptionhandler](../tutorial/handling-errors.md#install-custom-exception-handlers){.internal-link target=_blank} bereits ausgeführt worden wären.

    * You can have deeply **nested JSON** objects and have them all validated and annotated.
* **Extensible**:
    * Pydantic allows custom data types to be defined or you can extend validation with methods on a model decorated with the validator decorator.

```sh
docker run -p 9000:9000 -p 9001:9001 myminio:minio server /tmp/minio --console-address :9001
```

Complete documentation for building Docker containers, managing custom images, or loading images into orchestration platforms is out of scope for this documentation.
You can modify the `Dockerfile` and `dockerscripts/docker-entrypoint.sh` as-needed to reflect your specific image requirements.

 * ensures that the properties are always up-to-date.
 *
 * <p>Key Features:
 * <ul>
 *   <li>Automatically reloads properties if the file is modified.</li>
 *   <li>Supports custom check intervals for file modification checks.</li>
 *   <li>Provides synchronized methods for loading and storing properties.</li>
 *   <li>Extends {@link Properties} and overrides its methods to work with dynamic properties.</li>

     *            the subject to set
     */
    protected void setSubject(Subject subject) {
        this.subject = subject;
    }

    @Override
    public void refresh() throws CIFSException {
        // custom Kerb5Authenticators need to override this method for support
        throw new SmbUnsupportedOperationException("Refreshing credentials is not supported by this authenticator");
    }

    @Override