«««
        # FastAPI in Containers - Docker { #fastapi-in-containers-docker }
        »»»

    Translate with (German) – notice the dash:

        «««
        # FastAPI in Containern – Docker { #fastapi-in-containers-docker }
        »»»

    Do NOT translate with (German) – notice the hyphen:

        «««
        # FastAPI in Containern - Docker { #fastapi-in-containers-docker }
        »»»

7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.

    Again, you can combine `dataclasses` with standard type annotations.

8. Notice that this *path operation function* uses regular `def` instead of `async def`.

    As always, in FastAPI you can combine `def` and `async def` as needed.

                            "schema": {
                                "type": "array",
                                "items": {"type": "integer"},
                                "title": "Device Ids",
                            },
                        }
                    ],
                    "responses": {
                        "200": {

        «««
        [Body - Multiple Parameters: Singular values in body](body-multiple-params.md#singular-values-in-body){.internal-link target=_blank}
        »»»

    Existing wrong translation (German) – notice the wrongly translated anchor fragment:

        «««
        [Body – Mehrere Parameter: Einfache Werte im Body](body-multiple-params.md#einzelne-werte-im-body){.internal-link target=_blank}.
        »»»

# specified".
common:cross_compile_macos_x86 --extra_toolchains=//tensorflow/tools/toolchains/cross_compile/config:macos-x86-cross-compile-cc-toolchain
# Map --platforms=darwin_x86_64 to --cpu=darwin and vice-versa to make selects()
# and transistions that use these flags work.
common:cross_compile_macos_x86 --platform_mappings=tensorflow/tools/toolchains/cross_compile/config/platform_mappings

main ones is that now the parameters of your functions with `Annotated` would **not be affected** at all.

If you call those functions in **other places in your code**, the actual **default values** will be kept, your editor will help you notice missing **required arguments**, Python will require you to pass required arguments at **runtime**, you will be able to **use the same functions** for different things and with different libraries (e.g. **Typer** will soon support `Annotated` too,...