name: Add to Project

on:
  pull_request_target:
  issues:
    types:
      - opened
      - reopened

jobs:
  add-to-project:
    name: Add to project
    runs-on: ubuntu-latest
    steps:
      - uses: actions/add-to-project@v1.0.2
        with:
          project-url: https://github.com/orgs/fastapi/projects/2

name: golangci-lint
on:
  push:
    branches:
      - main
      - master
  pull_request:

permissions:
  contents: read
  pull-requests: read

jobs:
  golangci:
    name: lint
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-go@v5
        with:
          go-version: stable
      - name: golangci-lint
        uses: golangci/golangci-lint-action@v7
        with:

name: "Validate Gradle Wrapper"
on: [push]

jobs:
  validation:
    name: "Validation"
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2

        SimpleProblemCollector result = validateRaw("deprecated-dependency-metaversions-latest-and-release.xml");

        assertViolations(result, 0, 0, 2);

        assertContains(
                result.getWarnings().get(0),
                "'dependencies.dependency.version' for test:a:jar is either LATEST or RELEASE (both of them are being deprecated)");
        assertContains(

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

Esto sigue siendo soportado gracias a **Pydantic**, ya que tiene [soporte interno para `dataclasses`](https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel).

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

Isso ainda é suportado graças ao **Pydantic**, pois ele tem [suporte interno para `dataclasses`](https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel).

Então, mesmo com o código acima que não usa Pydantic explicitamente, o FastAPI está usando Pydantic para converter essas dataclasses padrão para a versão do Pydantic.

# updated.
concurrency:
  group: ${{ github.workflow }}-${{ github.head_ref }}
  cancel-in-progress: true

permissions:
  contents: read

jobs:
  release:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Install Helm
        uses: azure/setup-helm@v4

      - name: Run helm lint
        run: |
          cd helm/minio

#!/bin/bash

trap 'cleanup $LINENO' ERR

# shellcheck disable=SC2120
cleanup() {
	MINIO_VERSION=dev /tmp/gopath/bin/docker-compose \
		-f "buildscripts/upgrade-tests/compose.yml" \
		down || true

	MINIO_VERSION=dev /tmp/gopath/bin/docker-compose \
		-f "buildscripts/upgrade-tests/compose.yml" \
		rm || true

	for volume in $(docker volume ls -q | grep upgrade); do
		docker volume rm ${volume} || true
	done

name: Publish

on:
  release:
    types:
      - created

jobs:
  publish:
    runs-on: ubuntu-latest
    permissions:
      id-token: write
      contents: read
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v6
      - name: Set up Python
        uses: actions/setup-python@v6
        with:

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

Это по-прежнему поддерживается благодаря **Pydantic**, так как в нём есть [встроенная поддержка `dataclasses`](https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel).