// Technically this listener is added after start() was called so it is a little gross, but it
    // is called within doStart() so we know that the service cannot terminate or fail concurrently
    // with adding this listener so it is impossible to miss an event that we are interested in.
    addListener(
        new Listener() {
          @Override

* Qualquer programa, qualquer código, **só pode fazer coisas** quando está sendo **executado**. Então, quando há um **processo em execução**.
* O processo pode ser **terminado** (ou "morto") por você, ou pelo sistema operacional. Nesse ponto, ele para de rodar/ser executado, e ele **não pode mais fazer coisas**.

				"application/x-msmediaview",
				"application/x-msmetafile",
				"application/x-msmoney",
				"application/x-mspublisher",
				"application/x-msschedule",
				"application/x-msterminal",
				"application/x-mswrite",
				"application/x-netcdf",
				"application/x-pkcs12",
				"application/x-pkcs7-certificates",
				"application/x-pkcs7-certreqresp",
				"application/x-prt",

- Active watches of custom resources now terminate properly if the CRD is modified. ([#78029](https://github.com/kubernetes/kubernetes/pull/78029), [@liggitt](https://github.com/liggitt))

### Scheduling

- Scheduler should terminate when it loses leader lock. ([#81306](https://github.com/kubernetes/kubernetes/pull/81306), [@ravisantoshgudimetla](https://github.com/ravisantoshgudimetla))

- Fix the regression with the slow pods termination. Before this fix pods may take an additional time to terminate - up to one minute. Reversing the change that ensured that CNI resources cleaned up when the pod is removed on API server. ([#97980](https://github.com/kubernetes/kubernetes/pull/97980), [@SergeyKanzhelev](https://github.com/SergeyKanzhelev)) [SIG...

*   TensorFlow Debugger (tfdbg) CLI:
    *   During tensor-filter operations, allow exclusion of nodes by regular
        expressions.
    *   Fix spurious background colors in some text terminals.
*   `tf.contrib`:
    *   Add meta-distribution BatchReshape which reshapes batch dimensions.
    *   `tf.contrib.layers.recompute_grad` works for explicit gradient
        checkpointing on TPU.