you're running the same code that you're testing:

    *   Use an up to date [tf-nightly](https://pypi.org/project/tf-nightly/)
        `pip install -U tf-nightly`
    *   Rebase your pull request onto a recent pull from
        [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch.

2.  If you are changing the code and the docstring of a class/function/method,
    then you will need to

  // starts by stopping at most 30% of those DaemonSet pods and then brings
  // up new DaemonSet pods in their place. Once the new pods are available,
  // it then proceeds onto other DaemonSet pods, thus ensuring that at least
  // 70% of original number of DaemonSet pods are available at all times during
  // the update.
  // +optional

  // starts by stopping at most 30% of those DaemonSet pods and then brings
  // up new DaemonSet pods in their place. Once the new pods are available,
  // it then proceeds onto other DaemonSet pods, thus ensuring that at least
  // 70% of original number of DaemonSet pods are available at all times during
  // the update.
  // +optional

!!! check "Verifique"
	Então, com a mesma declaração de tipo do Python, o **FastAPI** dá pra você validação de dados.

	Observe que o erro também mostra claramente o ponto exato onde a validação não passou.

	Isso é incrivelmente útil enquanto se desenvolve e debuga o código que interage com a sua API.

## Documentação

```Python hl_lines="3"
{!../../../docs_src/first_steps/tutorial001.py!}
```

Aqui, a variável `app` será uma "instância" da classe `FastAPI`.

Este será o principal ponto de interação para criar toda a sua API.

Este `app` é o mesmo referenciado por `uvicorn` no comando:

<div class="termy">

```console
$ uvicorn main:app --reload

This component accomplishes that in the following ways:

1. By installing a separate, very basic "CNI plugin" binary onto the node to forward low-level pod lifecycle events (CmdAdd/CmdDel/etc) from whatever node-level CNI subsystem is in use to this node agent for processing via socket.
1. By running as a node-level daemonset that:

  // starts by stopping at most 30% of those DaemonSet pods and then brings
  // up new DaemonSet pods in their place. Once the new pods are available,
  // it then proceeds onto other DaemonSet pods, thus ensuring that at least
  // 70% of original number of DaemonSet pods are available at all times during
  // the update.
  // +optional

pkg syscall (netbsd-arm64-cgo), const MAP_INHERIT_DEFAULT = 1
pkg syscall (netbsd-arm64-cgo), const MAP_INHERIT_DEFAULT ideal-int
pkg syscall (netbsd-arm64-cgo), const MAP_INHERIT_DONATE_COPY = 3
pkg syscall (netbsd-arm64-cgo), const MAP_INHERIT_DONATE_COPY ideal-int
pkg syscall (netbsd-arm64-cgo), const MAP_INHERIT ideal-int
pkg syscall (netbsd-arm64-cgo), const MAP_INHERIT_NONE = 2

* Fixed an issue that caused a credential error when deploying federation control plane onto a GKE cluster. ([#31747](https://github.com/kubernetes/kubernetes/pull/31747), [@madhusudancs](https://github.com/madhusudancs))

jongkweh, justkw, Kanvi Khanna, kikoxia, Koan-Sin Tan, Kun-Lu, ltsai1, Lu Teng, luliyucoordinate, Mahmoud Abuzaina, mdfaijul, Milos Puzovic, Nathan Luehr, Om Thakkar, pateldeev, Peng Sun, Philipp Hack, pjpratik, Poliorcetics, rahulbatra85, rangjiaheng, Renato Arantes, Robert Kalmar, roho, Rylan Justice, Sachin Muradi, samypr100, Saoirse Stewart, Shanbin Ke, Shivam Mishra, shuw, Song Ziming, Stephan Hartmann, Sulav, sushreebarsa, T Coxon, Tai Ly, talyz, Thibaut Goetghebuer-Planchon, Thomas Preud'Homme,...