Con **FastAPI** obtienes todas las características de **Pydantic** (dado que FastAPI está basado en Pydantic para todo el manejo de datos):

* **Sin dificultades para entender**:
    * No necesitas aprender un nuevo micro-lenguaje de definición de schemas.
    * Si sabes tipos de Python, sabes cómo usar Pydantic.

    try {
      // We get the result, even if collectOneValue is a no-op, so that we can fail fast.
      // We use getUninterruptibly over getDone as a micro-optimization, we know the future is done.
      collectOneValue(index, getUninterruptibly(future));
    } catch (ExecutionException e) {
      handleException(e.getCause());

Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask.

/// check | "Inspired **FastAPI** to"

Be a micro-framework. Making it easy to mix and match the tools and parts needed.

Have a simple and easy to use routing system.

///

### <a href="https://requests.readthedocs.io" class="external-link" target="_blank">Requests</a>

这也意味着在很多情况下，你可以将从请求中获得的相同对象**直接传到数据库**，因为所有的验证都是自动的。

反之亦然，在很多情况下，你也可以将从数据库中获取的对象**直接传到客户端**。

通过 **FastAPI** 你可以获得所有 **Pydantic**  (FastAPI 基于 Pydantic 做了所有的数据处理)：

* **更简单**：
    * 没有新的模式定义 micro-language 需要学习。
    * 如果你知道 Python types，你就知道如何使用 Pydantic。
* 和你 **<abbr title="集成开发环境，和代码编辑器类似">IDE</abbr>/<abbr title="一个检查代码错误的程序">linter</abbr>/brain** 适配:

 * thus paying for the cost of the expensive task.
 *
 * @author Dimitris Andreou
 * @since 13.0
 */
// TODO(user): switch to nano precision. A natural unit of cost is "bytes", and a micro precision
// would mean a maximum rate of "1MB/s", which might be small in some cases.
@Beta
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault
public abstract class RateLimiter {
  /**

 * thus paying for the cost of the expensive task.
 *
 * @author Dimitris Andreou
 * @since 13.0
 */
// TODO(user): switch to nano precision. A natural unit of cost is "bytes", and a micro precision
// would mean a maximum rate of "1MB/s", which might be small in some cases.
@Beta
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault
public abstract class RateLimiter {
  /**

E ele gera _schemas_ OpenAPI.

É assim como funciona no Flask, Starlette, Responder etc.

Mas então, nós temos novamente o problema de ter uma micro-sintaxe, dentro de uma string Python (um grande YAML).

*   Fixes a `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs` ([CVE-2022-36016](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-36016))
*   Fixes an OOB read in `Gather_nd` op in TF Lite Micro ([CVE-2022-35938](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35938))

## Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

* Fix public IP not found issues for VMSS nodes ([#80703](https://github.com/kubernetes/kubernetes/pull/80703), [@feiskyer](https://github.com/feiskyer))
* Fix a conformance test that was skipped when client had a newer micro version than server. ([#80598](https://github.com/kubernetes/kubernetes/pull/80598), [@smarterclayton](https://github.com/smarterclayton))

00B3          ; mapped                 ; 0033          # 1.1  SUPERSCRIPT THREE
00B4          ; disallowed_STD3_mapped ; 0020 0301     # 1.1  ACUTE ACCENT
00B5          ; mapped                 ; 03BC          # 1.1  MICRO SIGN
00B6          ; valid                  ;      ; NV8    # 1.1  PILCROW SIGN
00B7          ; valid                                  # 1.1  MIDDLE DOT
00B8          ; disallowed_STD3_mapped ; 0020 0327     # 1.1  CEDILLA