purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production,...

```

////

## Dependências para um grupo de *operações de rota*

Mais a frente, quando você ler sobre como estruturar aplicações maiores ([Bigger Applications - Multiple Files](../../tutorial/bigger-applications.md){.internal-link target=_blank}), possivelmente com múltiplos arquivos, você aprenderá a declarar um único parâmetro `dependencies` para um grupo de *operações de rota*.

## Dependências globais

* do we need a sort of bus for application data
* do we need a dictionary for our applications like Apple does. We could easily hook into this and this is the model we need to follow. Following the model of apple applications the dictionary is what the REST URI should attach to. Not creating custom logic in the resource code.
* how many of our REST services do not map directory to a method in the application interface?

- an example of adding js

## Why is MinIO cloud-native?

And the `items_per_user` would keep its default value of `50`.

## Settings in another module

You could put those settings in another module file as you saw in [Bigger Applications - Multiple Files](../tutorial/bigger-applications.md){.internal-link target=_blank}.

For example, you could have a file `config.py` with:

```Python
{!../../docs_src/settings/app01/config.py!}
```

## Exemplo

Para um exemplos simples, vamos considerar uma estrutura de arquivos semelhante ao descrito em [Bigger Applications](../tutorial/bigger-applications.md){.internal-link target=_blank} e [Testing](../tutorial/testing.md){.internal-link target=_blank}:

```
.
├── app
│   ├── __init__.py
│   ├── main.py
│   └── test_main.py
```

#         ; propertiesHtmlList = list:{ [env or config or label or message] }
#     }
#     ; appMap = map:{
#         ; [application name, camel case, initial uncapitalised] = map:{
#             ; path = [relative path to application project from DBFlute client]
#             ; freeGenList = list:{ [env or config or label or message or html] }

Tout d'abord il faut "épingler" la version de **FastAPI** que vous utilisez à la dernière version dont vous savez
qu'elle fonctionne correctement pour votre application.

Par exemple, disons que vous utilisez la version `0.45.0` dans votre application.

Si vous utilisez un fichier `requirements.txt`, vous pouvez spécifier la version avec :

```txt
fastapi==0.45.0
```

ce qui signifierait que vous utiliseriez exactement la version `0.45.0`.

## API Request Parameters

### Token

The OAuth 2.0 access token that is provided by the identity provider. Application must get this token by authenticating the application using client credential grants before the application makes an AssumeRoleWithClientGrants call.

| Params               | Value                                          |

# Reference

Here's the reference or code API, the classes, functions, parameters, attributes, and
all the FastAPI parts you can use in your applications.

If you want to **learn FastAPI** you are much better off reading the