behavior.
    *   Adding `clear_losses` API to be able to clear losses at the end of
        forward pass in a custom training loop in eager.
    *   Add support for passing list of lists to the `metrics` param in Keras
        `compile`.
    *   Added top-k to precision and recall to keras metrics.
    *   Adding public APIs for `cumsum` and `cumprod` keras backend functions.

Additionally, we create a `secret_name` for the hero, but so far, we are returning it everywhere, that's not very **secret**... 😅

We'll fix these things by adding a few **extra models**. Here's where SQLModel will shine. ✨

### Create Multiple Models

In **SQLModel**, any model class that has `table=True` is a **table model**.

### Container Images

All container images are available as manifest lists and support the described
architectures. It is also possible to pull a specific architecture directly by
adding the "-$ARCH" suffix  to the container image name.

name | architectures
---- | -------------

              return oldValue;
            }
          } catch (ArithmeticException overflow) {
            throw new IllegalArgumentException(
                "Overflow adding " + occurrences + " occurrences to a count of " + oldValue);
          }
        } else {
          // In the case of a concurrent remove, we might observe a zero value, which means another

is the name <code>foo</code> as an address in memory.
This form is used to name global functions and data.
Adding <code>&lt;&gt;</code> to the name, as in <span style="white-space: nowrap"><code>foo&lt;&gt;(SB)</code></span>, makes the name
visible only in the current source file, like a top-level <code>static</code> declaration in a C file.
Adding an offset to the name refers to that offset from the symbol's address, so

    for (Service service : copy) {
      service.addListener(new ServiceListener(service, stateReference), directExecutor());
      // We check the state after adding the listener as a way to ensure that our listener was added
      // to a NEW service.
      checkArgument(service.state() == NEW, "Can only manage NEW services, %s", service);
    }

    for (Service service : copy) {
      service.addListener(new ServiceListener(service, stateReference), directExecutor());
      // We check the state after adding the listener as a way to ensure that our listener was added
      // to a NEW service.
      checkArgument(service.state() == NEW, "Can only manage NEW services, %s", service);
    }

    assertThat(manyValuesAccumulatorByAddAllStats.min()).isEqualTo(MANY_VALUES_MIN);
    assertThat(manyValuesAccumulatorByAddAllStatsAccumulator.min()).isEqualTo(MANY_VALUES_MIN);
    // For datasets of many double values created by adding elements individually, we test many
    // combinations of finite and non-finite values:
    for (ManyValues values : ALL_MANY_VALUES) {
      StatsAccumulator accumulator = new StatsAccumulator();

 *
 * <h3>Alternatives</h3>
 *
 * <h4>Frameworks</h4>
 *
 * <p>When chaining together a graph of asynchronous operations, you will often find it easier to
 * use a framework. Frameworks automate the process, often adding features like monitoring,
 * debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *

					// we just warn them and provide a suggestion
					fmt.Fprintf(cmd.OutOrStdout(), "Warning: namespace (%s) already has an enrolled Waypoint. Consider "+
						"adding the `"+"--overwrite"+"` flag to your apply command.\n", ns)
					return nil
				}
				namespaceIsLabeledAmbient, err := namespaceHasLabelWithValue(kubeClient, ns, label.IoIstioDataplaneMode.Name, constants.DataplaneModeAmbient)