{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

This is still supported thanks to **Pydantic**, as it has [internal support for `dataclasses`](https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel).

So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.

name: Java CI with Maven

on:
  push:
    branches:
    - master
    - "*.x"
  pull_request:
    branches:
    - master
    - "*.x"

jobs:
  build:

    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v2
    - name: Set up JDK 21
      uses: actions/setup-java@v2
      with:
        java-version: '21'
        distribution: 'temurin'
    - name: Build with Maven

nvidia-cuda-nvcc-cu12>=12.5.82,<13.0
nvidia-cuda-nvrtc-cu12>=12.5.82,<13.0
nvidia-cuda-runtime-cu12>=12.5.82,<13.0
# The upper bound is set for the CUDNN API compatibility.
# See
# https://docs.nvidia.com/deeplearning/cudnn/backend/latest/developer/forward-compatibility.html#cudnn-api-compatibility
nvidia-cudnn-cu12>=9.3.0.75,<10.0
nvidia-cufft-cu12>=11.2.3.61,<12.0
nvidia-curand-cu12>=10.3.6.82,<11.0
nvidia-cusolver-cu12>=11.6.3.83,<12.0

	"versions",
	"website",
}

// Signature and API related constants.
const (
	signV2Algorithm = "AWS"
)

// AWS S3 Signature V2 calculation rule is give here:
// http://docs.aws.amazon.com/AmazonS3/latest/dev/RESTAuthentication.html#RESTAuthenticationStringToSign
func doesPolicySignatureV2Match(formValues http.Header) (auth.Credentials, APIErrorCode) {
	accessKey := formValues.Get(xhttp.AmzAccessKeyID)

const (
	// Bucket Encryption configuration file name.
	bucketSSEConfig = "bucket-encryption.xml"
)

// PutBucketEncryptionHandler - Stores given bucket encryption configuration
// https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketEncryption.html
func (api objectAPIHandlers) PutBucketEncryptionHandler(w http.ResponseWriter, r *http.Request) {
	ctx := newContext(r, w, "PutBucketEncryption")

    ) {
    init {
        id("Promotion_SnapshotFromQuickFeedbackStepUpload")
        name = "Nightly Snapshot (from QuickFeedback) - Upload"
        description = "Builds and uploads the latest successful changes on '${branch.branchName}' from Quick Feedback as a new distribution"

        steps {
            buildStep(
                ******@****.***arameters,

/// check | Inspiró a **FastAPI** a

Usar código para definir "esquemas" que proporcionen tipos de datos y validación automáticamente.

///

### [Webargs](https://webargs.readthedocs.io/en/latest/) { #webargs }

Otra gran funcionalidad requerida por las APIs es el <dfn title="lectura y conversión a datos de Python">parsing</dfn> de datos de las requests entrantes.

Dependencias opcionales adicionales de Pydantic:

* [`pydantic-settings`](https://docs.pydantic.dev/latest/usage/pydantic_settings/) - para la gestión de configuraciones.
* [`pydantic-extra-types`](https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/) - para tipos extra para ser usados con Pydantic.

Dependencias opcionales adicionales de FastAPI:

Dependências opcionais adicionais do Pydantic:

* [`pydantic-settings`](https://docs.pydantic.dev/latest/usage/pydantic_settings/) - para gerenciamento de configurações.
* [`pydantic-extra-types`](https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/) - para tipos extras a serem utilizados com o Pydantic.

Dependências opcionais adicionais do FastAPI:

* `datetime.timedelta`:
    * Pythonの`datetime.timedelta`です。
    * リクエストとレスポンスでは合計秒数の`float`で表現されます。
    * Pydanticでは「ISO 8601 time diff encoding」として表現することも可能です。[詳細はドキュメントを参照してください](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers)。
* `frozenset`:
    * リクエストとレスポンスでは`set`と同じように扱われます:
        * リクエストでは、リストが読み込まれ、重複を排除して`set`に変換されます。
        * レスポンスでは`set`が`list`に変換されます。