* 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

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).

@app.get("/query_examples/")
def query_examples(
    data: Union[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",
            },

        of built-in training loops such as `tf.keras` `compile` and `fit`, we
        expect reduction value to be `SUM` or `NONE`. Using `AUTO` in that case
        will raise an error.
    *   `NONE`: Weighted losses with one dimension reduced (axis=-1, or axis
        specified by loss function). When this reduction type used with built-in

def get_dependant(
    *,
    path: str,
    call: Callable[..., Any],
    name: Optional[str] = None,
    own_oauth_scopes: Optional[list[str]] = None,
    parent_oauth_scopes: Optional[list[str]] = None,
    use_cache: bool = True,
    scope: Union[Literal["function", "request"], None] = None,
) -> Dependant:
    dependant = Dependant(
        call=call,
        name=name,
        path=path,

    assert response.status_code == 200
    assert response.json() == {
        "host": "testserver",
        "save_data": True,
        "if_modified_since": None,
        "traceparent": None,
        "x_tag": [],
    }


def test_header_param_model_invalid(client: TestClient):
    response = client.get("/items/")
    assert response.status_code == 422
    assert response.json() == snapshot(
        {
            "detail": [

        ),
    ] = None,
    discriminator: Annotated[
        Union[str, None],
        Doc(
            """
            Parameter field name for discriminating the type in a tagged union.
            """
        ),
    ] = None,
    strict: Annotated[
        Union[bool, None],
        Doc(
            """

                """
            ),
        ] = None,
        scheme_name: Annotated[
            Optional[str],
            Doc(
                """
                Security scheme name.

                It will be included in the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),
        ] = None,
        scopes: Annotated[