tw := tar.NewWriter(&buf)
	var files = []struct {
		Name, Body string
	}{
		{"readme.txt", "This archive contains some text files."},
		{"gopher.txt", "Gopher names:\nGeorge\nGeoffrey\nGonzo"},
		{"todo.txt", "Get animal handling license."},
	}
	for _, file := range files {
		hdr := &tar.Header{
			Name: file.Name,
			Mode: 0600,
			Size: int64(len(file.Body)),
		}
		if err := tw.WriteHeader(hdr); err != nil {

    }

    protected void setupListCondition(final BadWordCB cb, final BadWordPager badWordPager) {
        if (badWordPager.id != null) {
            cb.query().docMeta().setId_Equal(badWordPager.id);
        }
        // TODO Long, Integer, String supported only.

        // setup condition
        cb.query().addOrderBy_SuggestWord_Asc();

        // search

    }

    public void importCsv(final Reader reader) {

                                    "title": "Q",
                                }
                            )
                            | IsDict(
                                # TODO: remove when deprecating Pydantic v1
                                {"title": "Q", "type": "string"}
                            ),
                            "name": "q",
                            "in": "query",

                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "b",
                },
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["query", "needy"],
                    "msg": "field required",

                    "input": "nonregexquery",
                    "ctx": {"pattern": "^fixedquery$"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "ctx": {"pattern": "^fixedquery$"},
                    "loc": ["query", "item-query"],

                    "input": "nonregexquery",
                    "ctx": {"pattern": "^fixedquery$"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "ctx": {"pattern": "^fixedquery$"},
                    "loc": ["query", "item-query"],

@pytest.mark.parametrize(
    "path,headers,expected_status,expected_response",
    [
        ("/items", None, 200, {"X-Token values": None}),
        ("/items", {"x-token": "foo"}, 200, {"X-Token values": ["foo"]}),
        # TODO: fix this, is it a bug?
        # ("/items", [("x-token", "foo"), ("x-token", "bar")], 200, {"X-Token values": ["foo", "bar"]}),
    ],
)
def test(path, headers, expected_status, expected_response, client: TestClient):

            "schemas": {
                "Item": {
                    "title": "Item",
                    "required": IsOneOf(
                        ["name", "description", "price", "tax", "tags"],
                        # TODO: remove when deprecating Pydantic v1
                        ["name", "price"],
                    ),
                    "type": "object",
                    "properties": {

            "schemas": {
                "PlaneItem": {
                    "title": "PlaneItem",
                    "required": IsOneOf(
                        ["description", "type", "size"],
                        # TODO: remove when deprecating Pydantic v1
                        ["description", "size"],
                    ),
                    "type": "object",
                    "properties": {

        {},
    ),
    visibility = ["//visibility:public"],
)

# TODO(jakeharmon8): Remove in favor of TSL version
config_setting(
    name = "fuchsia",
    constraint_values = if_google(
        ["//third_party/bazel_platforms/os:fuchsia"],
        [],
    ),
    values = if_oss(
        # TODO(b/149248802) When we have a Fuchsia Bazel SDK update to use the values it sets.
        {"cpu": "fuchsia"},