"address": {
            "line_1": "123 Main St",
            "city": "Anytown",
            "state_province": "CA",
        },
    }


def test_openapi_schema(client: TestClient):
    """
    Sanity check to ensure our app's openapi schema renders as we expect
    """
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == snapshot(
        {

"docs_src/security/tutorial005_py39.py" = ["B904"]
"docs_src/dependencies/tutorial008b_py39.py" = ["B904"]
"docs_src/dependencies/tutorial008b_an_py39.py" = ["B904"]


[tool.ruff.lint.isort]
known-third-party = ["fastapi", "pydantic", "starlette"]

[tool.ruff.lint.pyupgrade]
# Preserve types, even if a file imports `from __future__ import annotations`.
keep-runtime-typing = true

[tool.inline-snapshot]

The focus of this release is **compatibility** with Pydantic v1 and v2, to make sure your current apps keep working. Later there will be more focus on refactors, correctness, code improvements, and then **performance** improvements. Some third-party early beta testers that ran benchmarks on the beta releases of FastAPI reported improvements of **2x - 3x**. Which is not bad for just doing `pip install --upgrade fastapi pydantic`. This was not an official benchmark and I didn't check it myself,...