of ",groupCheckedEnd:" item(s)",badCreditCard:"The credit card number is not correct",badCVV:"The CVV number was not correct",wrongFileDim:"Incorrect image dimensions,",imageTooTall:"the image can not be taller than",imageTooWide:"the image can not be wider than",imageTooSmall:"the image was too small",min:"min",max:"max",imageRatioNotAccepted:"Image ratio is not be accepted",badBrazilTelephoneAnswer:"The phone number entered is invalid",badBrazilCEPAnswer:"The CEP entered is invalid",badBrazilCPFAnswer:"The...

## ドキュメントを見る

自動ドキュメントを見ると、入力モデルと出力モデルがそれぞれ独自のJSON Schemaを持っていることが確認できます。

<img src="https://fastapi.tiangolo.com/img/tutorial/response-model/image01.png">

そして、両方のモデルは、対話型のAPIドキュメントに使用されます:

<img src="https://fastapi.tiangolo.com/img/tutorial/response-model/image02.png">

## レスポンスモデルのエンコーディングパラメータ

レスポンスモデルにはデフォルト値を設定することができます:

```Python hl_lines="11 13 14"
{!../../docs_src/response_model/tutorial004.py!}

## Check the Docs

You can verify it in the docs UI at `/docs`:

<div class="screenshot">
<img src="/img/tutorial/request-form-models/image01.png">
</div>

## Forbid Extra Form Fields

Example: Start MinIO server in a 12 drives setup, using MinIO binary.

```sh
minio server /data{1...12}
```

Example: Start MinIO server in a 8 drives setup, using MinIO Docker image.

```sh
podman run \
  -p 9000:9000 \
  -p 9001:9001 \
  --name minio \
  -v /mnt/data1:/data1 \
  -v /mnt/data2:/data2 \
  -v /mnt/data3:/data3 \
  -v /mnt/data4:/data4 \
  -v /mnt/data5:/data5 \

---

Exemplos comuns de limite de CPU são coisas que exigem processamento matemático complexo.

Por exemplo:

* **Processamento de áudio** ou **imagem**
* **Visão do Computador**: uma imagem é composta por milhões de pixels, cada pixel tem 3 valores (cores, processamento que normalmente exige alguma computação em todos esses pixels ao mesmo tempo)

//       - key: "name"
//         value: "pick*" # match objects with tag 'name', with all values starting with 'pick'
//     metadata:
//       - key: "content-type"
//         value: "image/*" # match objects with 'content-type', with all values starting with 'image/'
//     kmskey: "key-id" # match objects with KMS key-id (applicable only for sse-kms)
//   notify:

running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

caption's text aligns with the image.\n  display: inline-block;\n}\n\n.figure-img {\n  margin-bottom: $spacer * .5;\n  line-height: 1;\n}\n\n.figure-caption {\n  @include font-size($figure-caption-font-size);\n  color: $figure-caption-color;\n}\n","// Image Mixins\n// - Responsive image\n// - Retina image\n\n\n// Responsive image\n//\n// Keep images from scaling beyond the width of their parents.\n\n@mixin img-fluid() {\n  // Part 1: Set a maximum relative to the parent\n  max-width: 100%;\n  // Part 2:...

Guillaume Nodet <******@****.***> 1729859506 +0200

          distribution: 'zulu'
          cache: 'maven'
      - name: 'Install'
        shell: bash
        run: ./mvnw -B -Dorg.slf4j.simpleLogger.log.org.apache.maven.cli.transfer.Slf4jMavenTransferListener=warn install -U -DskipTests=true -f $ROOT_POM
      - name: 'Test'
        shell: bash
        run: ./mvnw -B -P!standard-with-extra-repos verify -U -Dmaven.javadoc.skip=true -f $ROOT_POM
      - name: 'Print Surefire reports'