This will be used to extract the data and for the generated OpenAPI.
            It is particularly useful when you can't use the name you want because it
            is a Python reserved keyword or similar.
            """
        ),
    ] = None,
    alias_priority: Annotated[
        Union[int, None],
        Doc(
            """

@app.post("/sync/large-receive")
def sync_large_receive(payload: LargeIn):
    return {"received": len(payload.items)}


@app.post("/async/large-receive")
async def async_large_receive(payload: LargeIn):
    return {"received": len(payload.items)}


@app.get("/sync/large-dict-no-response-model")
def sync_large_dict_no_response_model():
    return LARGE_PAYLOAD

    assert response.status_code == 200, response.text
    assert response.json() == {"message": "Item received"}


def test_post_users():
    response = client.post(
        "/users/", json={"username": "Foo", "email": "******@****.***"}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {"message": "User received"}


def test_get_items():
    response = client.get("/items/")

def test_post_items(client: TestClient):
    response = client.post("/items/", json={"name": "Foo", "price": 5})
    assert response.status_code == 200, response.text
    assert response.json() == {"message": "item received"}


def test_get_items(client: TestClient):
    response = client.get("/items/")
    assert response.status_code == 200, response.text
    assert response.json() == [
        {"name": "Plumbus", "price": 3},

    response = client.post(
        "/invoices/", json={"id": "fooinvoice", "customer": "John", "total": 5.3}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {"msg": "Invoice received"}


def test_dummy_callback(mod: ModuleType):
    # Just for coverage
    mod.invoice_notification({})


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

    @classmethod
    def _validate(cls, __input_value: Any, _: Any) -> "UploadFile":
        if not isinstance(__input_value, StarletteUploadFile):
            raise ValueError(f"Expected UploadFile, received: {type(__input_value)}")
        return cast(UploadFile, __input_value)

    @classmethod
    def __get_pydantic_json_schema__(
        cls, core_schema: Mapping[str, Any], handler: GetJsonSchemaHandler

"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]
# default-flags=["fix"]

* «X is case-insensitive»: «Groß-/Klein­schrei­bung ist nicht relevant in X»
* «standard Python»: «Standard-Python»
* «deprecated»: «deprecatet»


### Other rules

        value: Optional[Any] = None
        if body_to_process is not None:
            try:
                value = body_to_process.get(get_validation_alias(field))
            # If the received body is a list, not a dict
            except AttributeError:
                errors.append(get_missing_field_error(loc))
                continue
        v_, errors_ = _validate_value_with_model_field(

                "- If the previous translation violates current instructions, update it.",
                "- Otherwise, preserve the original translation LINE-BY-LINE, AS-IS.",
                "Do not:",
                "- rephrase or rewrite correct lines just to improve the style.",