dependencies:
    "@jridgewell/resolve-uri" "^3.0.3"
    "@jridgewell/sourcemap-codec" "^1.4.10"

"@socket.io/component-emitter@~3.1.0":
  version "3.1.0"
  resolved "https://registry.yarnpkg.com/@socket.io/component-emitter/-/component-emitter-3.1.0.tgz#96116f2a912e0c02817345b3c10751069920d553"
  integrity sha512-+9jVqKhRSpsc591z5vX+X5Yyw+he/HCB4iQ/RYxw35CEPaY1gnsNE43nf9n9AaYjAQrTiI/mOwKUKdUs9vf7Xg==

<a href="https://github.com/fastapi/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
    <img src="https://github.com/fastapi/fastapi/actions/workflows/test.yml/badge.svg?event=push&branch=master" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/fastapi" target="_blank">
    <img src="https://coverage-badge.samuelcolvin.workers.dev/fastapi/fastapi.svg" alt="Coverage">
</a>

Continuando com o exemplo acima, você pode não querer ter a validação de dados padrão, documentação, filtragem, etc. que é realizada pelo FastAPI.

Mas você pode querer manter a anotação do tipo de retorno na função para obter o suporte de ferramentas como editores e verificadores de tipo (por exemplo, mypy).

Neste caso, você pode desabilitar a geração do modelo de resposta definindo `response_model=None`:

Calling this program outputs:

```
John Doe
```

The function does the following:

* Takes a `first_name` and `last_name`.
* Converts the first letter of each one to upper case with `title()`.
* <abbr title="Puts them together, as one. With the contents of one after the other.">Concatenates</abbr> them with a space in the middle.

{* ../../docs_src/python_types/tutorial001_py39.py hl[2] *}

### Edit it { #edit-it }

    for (@SuppressWarnings("rawtypes") // class literals
    Class<? extends AbstractTester> testerClass : testers) {
      @SuppressWarnings("unchecked") // getting rid of the raw type, for better or for worse
      TestSuite testerSuite =
          makeSuiteForTesterClass((Class<? extends AbstractTester<?>>) testerClass);
      if (testerSuite.countTestCases() > 0) {
        suite.addTest(testerSuite);
      }

    return CollectSpliterators.indexed(size(), characteristics, this::get);
  }

  @Override
  int copyIntoArray(@Nullable Object[] dst, int offset) {
    // this loop is faster for RandomAccess instances, which ImmutableLists are
    int size = size();
    for (int i = 0; i < size; i++) {
      dst[offset + i] = get(i);
    }
    return offset + size;
  }

  /**

        if (offset + SIGNATURE_OFFSET + SIGNATURE_LENGTH > data.length) {
            throw new IllegalArgumentException("Signature field exceeds data buffer size");
        }

        // Use fine-grained locking for better concurrency
        this.signingLock.lock();
        try {
            if (this.closed) {
                throw new IllegalStateException("SigningDigest is closed");
            }

And these models are all sharing a lot of the data and duplicating attribute names and types.

We could do better.

We can declare a `UserBase` model that serves as a base for our other models. And then we can make subclasses of that model that inherit its attributes (type declarations, validation, etc).

{* ../../docs_src/path_params_numeric_validations/tutorial003_py39.py hl[7] *}

### Melhor com `Annotated` { #better-with-annotated }

Tenha em mente que, se você usar `Annotated`, como você não está usando valores padrão de parâmetros de função, você não terá esse problema e provavelmente não precisará usar `*`.

If you're in a tricky situation and prepared to deal with the consequences, rewriting response headers is a powerful way to work around problems. For example, you can fix a server's misconfigured `Cache-Control` response header to enable better response caching:

```java
/** Dangerous interceptor that rewrites the server's cache-control header. */
private static final Interceptor REWRITE_CACHE_CONTROL_INTERCEPTOR = new Interceptor() {