_initializers = _KerasLazyLoader(
    globals(), submodule="initializers", name="initializers")
setattr(_current_module, "losses", _losses)
setattr(_current_module, "metrics", _metrics)
setattr(_current_module, "optimizers", _optimizers)
setattr(_current_module, "initializers", _initializers)


# Do an eager load for Keras' code so that any function/method that needs to

        // Test setAttr
        tag.setAttr("data-role", "button");
        assertTrue(tag.toString().contains("attrName=data-role"));
        assertTrue(tag.toString().contains("attrValue=button"));

        // Test overwriting values
        tag.setId("new-id");
        tag.setCss("new-class");
        tag.setAttr("role", "link");

  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals(), mode="v1"))
_module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras")
_current_module.__path__ = [_module_dir] + _current_module.__path__

     * Sets a custom attribute name-value pair that this pruned tag should match.
     *
     * @param name the attribute name to match
     * @param value the attribute value to match
     */
    public void setAttr(final String name, final String value) {
        attrName = name;
        attrValue = value;
    }

    @Override
    public String toString() {

    multipart_not_installed_error,
)


def test_incorrect_multipart_installed_form(monkeypatch):
    monkeypatch.setattr("python_multipart.__version__", "0.0.12")
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        monkeypatch.delattr("multipart.multipart.parse_options_header", raising=False)
    with pytest.raises(RuntimeError, match=multipart_incorrect_install_error):

        # Make the FIRST file slower *deterministically*
        if self.filename == "slow.txt":
            await anyio.sleep(0.05)
        return await original_read(self, size)

    monkeypatch.setattr(StarletteUploadFile, "read", patched_read)

    client = TestClient(app)

    files = [
        ("files", ("slow.txt", b"A" * 10, "text/plain")),
        ("files", ("fast.txt", b"B" * 10, "text/plain")),
    ]

def slow_sync_stream():
    yield {"n": 1}
    time.sleep(0.3)
    yield {"n": 2}


def test_keepalive_ping_async(monkeypatch: pytest.MonkeyPatch):
    monkeypatch.setattr(fastapi.routing, "_PING_INTERVAL", 0.05)
    with TestClient(keepalive_app) as c:
        response = c.get("/slow-async")
    assert response.status_code == 200
    text = response.text

            return False
        dunder_call = getattr(_impartial(self.call), "__call__", None)  # noqa: B004
        if dunder_call is None:
            return False  # pragma: no cover
        if inspect.isgeneratorfunction(
            _impartial(dunder_call)
        ) or inspect.isgeneratorfunction(_unwrapped_call(dunder_call)):
            return True

            openapi_examples = getattr(field_info, "openapi_examples", None)
            example = getattr(field_info, "example", None)
            if openapi_examples:
                parameter["examples"] = jsonable_encoder(openapi_examples)
            elif example is not _Unset:
                parameter["example"] = jsonable_encoder(example)
            if getattr(field_info, "deprecated", None):

        which would previously raise an error. This will correspond to an
        attribute name with an embedded '.' symbol (e.g. 'a.b'), which can only
        be accessed indirectly (e.g. through getattr and setattr). To set this
        up the user will first need to explicitly add the variable to the hparam
        object (e.g. "hparams.add_hparam(name='a.b', value=0.0)").
    *   Benchmark for tf.scan in graph and eager modes.