"python-multipart >=0.0.18",
    # For Starlette's SessionMiddleware, not commonly used with FastAPI
    "itsdangerous >=1.1.0",
    # For Starlette's schema generation, would not be used with FastAPI
    "pyyaml >=5.3.1",
    # To validate email fields
    "email-validator >=2.0.0",
    # Uvicorn with uvloop
    "uvicorn[standard] >=0.12.0",
    # Settings management
    "pydantic-settings >=2.0.0",

# For wheel verification, and uploading
auditwheel ~= 6.1.0
twine ~= 6.1.0
id
urllib3
requests

# For XLA
pyyaml

# For JAX
build ~= 1.2.2
# uv is faster than pip for installing Python packages.
uv ~= 0.5.30

# For running wheel verification script

repos:
  - repo: https://github.com/pre-commit/pre-commit-hooks
    rev: v6.0.0
    hooks:
      - id: check-added-large-files
        args: ['--maxkb=750']
        exclude: ^uv.lock$
      - id: check-toml
      - id: check-yaml
        args:
        - --unsafe
      - id: end-of-file-fixer
      - id: trailing-whitespace

  - repo: local
    hooks:
      - id: local-ruff-check
        name: ruff check

github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> 1770285177 +0000

Slawomir Jaranowski <******@****.***> 1774793470 +0200

          sed -n '/^version:/,$p' .teamcity/jdks.yaml >> .teamcity/jdks.yaml.tmp
          mv .teamcity/jdks.yaml.tmp .teamcity/jdks.yaml
      - name: Create Pull Request
        id: create-pull-request
        uses: peter-evans/create-pull-request@v8
        with:
          signoff: true
          sign-commits: true
          commit-message: "Update jdks.yaml"
          add-paths: .teamcity/jdks.yaml
          title: "Update jdks.yaml"

    raw_body = await request.body()
    try:
        data = yaml.safe_load(raw_body)
    except yaml.YAMLError:
        raise HTTPException(status_code=422, detail="Invalid YAML")
    try:
        item = Item.model_validate(data)
    except ValidationError as e:
        raise HTTPException(status_code=422, detail=e.errors(include_url=False))

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py310.py hl[15:20, 22] *}

Sin embargo, aunque no estamos usando la funcionalidad integrada por defecto, aún estamos usando un modelo Pydantic para generar manualmente el JSON Schema para los datos que queremos recibir en YAML.

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py310.py hl[15:20, 22] *}

Entretanto, mesmo que não utilizemos a funcionalidade integrada por padrão, ainda estamos usando um modelo Pydantic para gerar um JSON Schema manualmente para os dados que queremos receber em YAML.

## 2. Run Distributed MinIO on Docker Compose