* that returns a {@code ClosingFuture} to its value. The function can use a {@link
   * DeferredCloser} to capture objects to be closed when the pipeline is done (other than those
   * captured by the returned {@link ClosingFuture}).
   *
   * <p>If this {@code ClosingFuture} succeeds, the derived one will be equivalent to the one
   * returned by the function.
   *

# This generates a pure python wheel of the format "*-py3-none-any.whl"
bazel run --HERMETIC_PYTHON_VERSION=3.13 //tensorflow/tools/pip_package:setup_py_binary -- bdist_wheel --dist-dir "$TFCI_OUTPUT_DIR"

# Get the name of the pure python wheel that was built. This should
# resolve to either
# 1. tensorflow-a.b.c-py3-none-any.whl  or, for nightly builds,
# 2. tf_nightly-a.b.c.devYYYYMMDD-py3-none-any.whl

    assertLockHeld()

    // If this connection is not accepting new exchanges, we're done.
    if (calls.size >= allocationLimit || noNewExchanges) return false

    // If the non-host fields of the address don't overlap, we're done.
    if (!this.route.address.equalsNonHost(address)) return false

    // If the host exactly matches, we're done: this connection can carry the address.
    if (address.url.host ==
      this

pkg net, type Dialer struct, LocalAddr Addr
pkg net, type Dialer struct, Timeout time.Duration
pkg net, type IPAddr struct, Zone string
pkg net, type NS struct
pkg net, type NS struct, Host string
pkg net, type TCPAddr struct, Zone string
pkg net, type UDPAddr struct, Zone string
pkg net/http, const DefaultMaxHeaderBytes = 1048576
pkg net/http, const DefaultMaxIdleConnsPerHost = 2

You would have **one single `engine` object** for all your code to connect to the same database.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[14:18] hl[14:15,17:18] *}

Using `check_same_thread=False` allows FastAPI to use the same SQLite database in different threads. This is necessary as **one single request** could use **more than one thread** (for example in dependencies).

        isFocusList = false;
      } else if (e.keyCode === KEY_CODES.UP) {
        if ($boxElement.css("display") !== "none") {
          e.preventDefault();
        }
        suggestor.selectlist("up");
      } else if (e.keyCode === KEY_CODES.DOWN) {
        if ($boxElement.css("display") === "none") {
          suggestor.suggest();
        } else {
          suggestor.selectlist("down");
        }

    background_tasks: StarletteBackgroundTasks | None
    response: Response
    dependency_cache: dict[DependencyCacheKey, Any]


async def solve_dependencies(
    *,
    request: Request | WebSocket,
    dependant: Dependant,
    body: dict[str, Any] | FormData | bytes | None = None,
    background_tasks: StarletteBackgroundTasks | None = None,
    response: Response | None = None,

    print("LLM translatable languages:", translatable_langs)
    return translatable_langs


@app.command()
def llm_translatable_json(
    language: Annotated[str | None, typer.Option(envvar="LANGUAGE")] = None,
) -> None:
    translatable_langs = get_llm_translatable()
    if language:
        if language in translatable_langs:
            print(json.dumps([language]))
            return
        else:

@app.get("/query_examples/")
def query_examples(
    data: str | None = Query(
        default=None,
        examples=[
            "json_schema_query1",
            "json_schema_query2",
        ],
        openapi_examples={
            "Query One": {
                "summary": "Query One Summary",
                "description": "Query One Description",
                "value": "query1",
            },

    ):
        app = FastAPI()

        class Item(BaseModel):
            title: str

        @app.get("/items/")
        def read_items(q: tuple[Item, Item] = Query(default=None)):
            pass  # pragma: no cover


def test_invalid_dict():
    with pytest.raises(
        AssertionError,
        match="Query parameter 'q' must be one of the supported types",