int totalBytesRead = 0;
    boolean doneEncoding = endOfInput;

    DRAINING:
    while (true) {
      // We stay in draining mode until there are no bytes left in the output buffer. Then we go
      // back to encoding/flushing.
      if (draining) {
        totalBytesRead += drain(b, off + totalBytesRead, len - totalBytesRead);
        if (totalBytesRead == len || doneFlushing) {

    int totalBytesRead = 0;
    boolean doneEncoding = endOfInput;

    DRAINING:
    while (true) {
      // We stay in draining mode until there are no bytes left in the output buffer. Then we go
      // back to encoding/flushing.
      if (draining) {
        totalBytesRead += drain(b, off + totalBytesRead, len - totalBytesRead);
        if (totalBytesRead == len || doneFlushing) {

* Adds support for CNI ConfigLists, which permit plugin chaining. ([#42202](https://github.com/kubernetes/kubernetes/pull/42202), [@squeed](https://github.com/squeed))

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  public void testIsPresent_yes() {
    assertTrue(Optional.of("training").isPresent());
  }

  public void testGet_absent() {
    Optional<String> optional = Optional.absent();
    assertThrows(IllegalStateException.class, optional::get);
  }

  public void testGet_present() {
    assertEquals("training", Optional.of("training").get());
  }

┌─────┬─────────────────────────────────┬──────────────────────────────────┬──────────┐
│ ID  │ Pools                           │ Capacity                         │ Status   │
│ 1st │ http://minio{1...2}/data{1...4} │ 439 GiB (used) / 561 GiB (total) │ Draining │
└─────┴─────────────────────────────────┴──────────────────────────────────┴──────────┘
```

the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it has become widely used for machine learning research. In...

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		return nil, err
	}

	dal := make([]*admin.ListenersConfigDump_DynamicListener, 0)
	for _, l := range listenerDump.DynamicListeners {
		// If a listener was reloaded, it would contain both the active and draining state
		// delete the draining state for proper comparison
		l.DrainingState = nil
		if l.ActiveState != nil {
			dal = append(dal, l)
		}
	}

	// Support v2 or v3 in config dump. See ads.go:RequestedTypes for more info.