### Sobre `**user_in.model_dump()` { #about-user-in-model-dump }

#### O `.model_dump()` do Pydantic { #pydantics-model-dump }

`user_in` é um modelo Pydantic da classe `UserIn`.

Os modelos Pydantic possuem um método `.model_dump()` que retorna um `dict` com os dados do modelo.

Então, se criarmos um objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")

        not supported when used with `tf.distribute.Strategy` outside of
        built-in training loops like `tf.keras` `compile`/`fit`.
    *   Wraps losses passed to the `compile` API (strings and v1 losses) which
        are not instances of v2 `Loss` class in `LossWrapper` class. => All
        losses will now use `SUM_OVER_BATCH_SIZE` reduction as default.

## 웹사이트

[fess.codelibs.org](https://fess.codelibs.org/)

## 문제/질문

[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## 시작하기

Fess를 사용해보는 방법은 두 가지가 있습니다. 첫 번째는 직접 다운로드하여 설치하는 방법이며, 두 번째는 [Docker](https://www.docker.com/products/docker-engine)를 사용하는 방법입니다.

### 다운로드 및 설치/실행

## 公式サイト

[fess.codelibs.org](https://fess.codelibs.org/)

## 問題や質問

[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## はじめに

Fessを試す方法は2つあります。1つは自分でダウンロードしてインストールする方法、もう1つは[Docker](https://www.docker.com/products/docker-engine)を使用する方法です。

### ダウンロードおよびインストール/実行

      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing

      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing

## Site Web

[fess.codelibs.org](https://fess.codelibs.org/)

## Problèmes/Questions

[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## Démarrage rapide

Il existe 2 manières d'essayer Fess. La première est de le télécharger et l'installer vous-même. La seconde est d'utiliser [Docker](https://www.docker.com/products/docker-engine).

## Site

[fess.codelibs.org](https://fess.codelibs.org/)

## Problemas/Perguntas

[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## Como Começar

Existem duas maneiras de testar o Fess. A primeira é baixar e instalar você mesmo. A segunda é usar [Docker](https://www.docker.com/products/docker-engine).

### Baixar e Instalar/Executar

      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing

to use the Work (including but not limited to damages for loss of goodwill, 
work stoppage, computer failure or malfunction, or any and all other 
commercial damages or losses), even if such Contributor has been advised of 
the possibility of such damages. 

9. Accepting Warranty or Additional Liability. While redistributing the Work