map sigbuild-r2.12-python3.8 2.12-python3.8
        map sigbuild-r2.12-python3.9 2.12-python3.9
        map sigbuild-r2.12-python3.10 2.12-python3.10
        map sigbuild-r2.12-python3.11 2.12-python3.11
        # TF 2.12 + Clang (containers are the same, but env vars in configs.bzl are different)
        map sigbuild-r2.12-clang 2.12-python3.9
        map sigbuild-r2.12-clang-python3.8 2.12-python3.8

    fi

# Setup links for TensorFlow to compile.
# Referenced in devel.usertools/*.bazelrc.
# Set python3.12 as the default python version.
# TF does not support python3.13.
RUN ln -sf /usr/bin/python3.12 /usr/bin/python3
RUN ln -sf /usr/bin/python3.12 /usr/bin/python
RUN ln -sf /usr/lib/python3.12 /usr/lib/tf_python

# Link the compat driver to the location if available.

func ARM64RegisterListOffset(firstReg, regCnt int, arrangement int64) (int64, error) {
	offset := int64(firstReg)
	switch regCnt {
	case 1:
		offset |= 0x7 << 12
	case 2:
		offset |= 0xa << 12
	case 3:
		offset |= 0x6 << 12
	case 4:
		offset |= 0x2 << 12
	default:
		return 0, errors.New("invalid register numbers in ARM64 register list")
	}
	offset |= arrangement

  - search: '/^\[maven-[\d\.x-]+\]\s*-?\s*/g'
    replace: ''
  # Convert JIRA ticket references to links (but not maven branch prefixes)
  - search: '/\[([A-Z]+)-(\d+)\]\s*-?\s*/g'

{* ../../docs_src/body_nested_models/tutorial002_py310.py hl[12] *}

## Set types { #set-types }

But then we think about it, and realize that tags shouldn't repeat, they would probably be unique strings.

And Python has a special data type for sets of unique items, the `set`.

Then we can declare `tags` as a set of strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

## Типы множеств { #set-types }

Но затем мы подумали и поняли, что теги не должны повторяться, вероятно, это должны быть уникальные строки.

И в Python есть специальный тип данных для множеств уникальных элементов — `set`.

Тогда мы можем объявить поле `tags` как множество строк:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

## Campos de lista { #list-fields }

Puedes definir un atributo como un subtipo. Por ejemplo, una `list` en Python:

{* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}

Esto hará que `tags` sea una lista, aunque no declare el tipo de los elementos de la lista.

## Campos de lista con parámetro de tipo { #list-fields-with-type-parameter }

          <item index="11" class="java.lang.String" itemvalue="org.checkerframework.checker.nullness.compatqual.NullableType" />
          <item index="12" class="java.lang.String" itemvalue="org.checkerframework.checker.nullness.qual.Nullable" />
          <item index="13" class="java.lang.String" itemvalue="org.eclipse.jdt.annotation.Nullable" />

    response = client.post("/", json="bar")
    assert response.status_code == 200, response.text
    assert response.json() == "bar"

    response2 = client.post("/", json=[1, 2])
    assert response2.status_code == 200, response2.text
    assert response2.json() == [1, 2]


def test_propagates_pydantic2_model_config():
    app = FastAPI()

    class Missing:
        def __bool__(self):
            return False

    assert response.json() == [1, 2]


def test_query_list_empty():
    response = client.get("/query/list/")
    assert response.status_code == 422


def test_query_list_default():
    response = client.get("/query/list-default/?device_ids=1&device_ids=2")
    assert response.status_code == 200
    assert response.json() == [1, 2]


def test_query_list_default_empty():