systemHelper.waitForNoWaitingThreads();

                    intervalControlHelper.delayByRules();

                    if (logger.isDebugEnabled()) {
                        logger.debug("Processing documents in IndexUpdater queue.");
                    }

                    updateTime = systemHelper.getCurrentTimeAsLong();

                    List<EsAccessResult> arList = getAccessResultList(cb, cleanupTime);

  // for cluster-scoped resources and non-empty for namespaced
  // resources.
  // +optional
  optional string namespace = 4;
}

// ResourceHandle holds opaque resource data for processing by a specific kubelet plugin.
message ResourceHandle {
  // DriverName specifies the name of the resource driver whose kubelet
  // plugin should be invoked to process this ResourceHandle's data once it

    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:
    * For example, let's say you receive a file that must go through a slow process, you can return a response of "Accepted" (HTTP 202) and process the file in the background.

## Using `BackgroundTasks`

Follow these steps to run the Spark Pi example:

- Login as user **‘spark’**.
- When the job runs, the library can now use **MinIO** during intermediate processing.
- Navigate to a node with the Spark client and access the spark2-client directory:

```
cd /usr/hdp/current/spark2-client
su spark
```

	case *ast.Expr:
		switch (*x).(type) {
		case *ast.SelectorExpr:
			f.saveRef(x, context)
		}
	case *ast.CallExpr:
		f.saveCall(x, context)
	}
}

// Save references to C.xxx for later processing.
func (f *File) saveRef(n *ast.Expr, context astContext) {
	sel := (*n).(*ast.SelectorExpr)
	// For now, assume that the only instance of capital C is when
	// used as the imported package identifier.

Individual packages are responsible for providing similar documentation
for their own operations.
</p>

<h2 id="restrictions">Implementation Restrictions for Programs Containing Data Races</h2>

<p>
The preceding section gave a formal definition of data-race-free program execution.
This section informally describes the semantics that implementations must provide
for programs that do contain races.
</p>

<p>

    logging.info(
        f"Sleeping for {sleep_time} seconds to avoid "
        "race conditions and multiple comments"
    )
    time.sleep(sleep_time)

    # Get PR
    logging.debug(f"Processing PR: #{github_event.pull_request.number}")
    pr = repo.get_pull(github_event.pull_request.number)
    label_strs = {label.name for label in pr.get_labels()}
    langs = []
    for label in label_strs:

	}
	return paxHdrs, nil
}

// readHeader reads the next block header and assumes that the underlying reader
// is already aligned to a block boundary. It returns the raw block of the
// header in case further processing is required.
//
// The err will be set to io.EOF only when one of the following occurs:
//   - Exactly 0 bytes are read and EOF is hit.
//   - Exactly 1 block of zeros is read and EOF is hit.

  EXPECT_EQ(TF_OUT_OF_RANGE, TF_GetCode(s_));
  EXPECT_EQ(string("Node 'feed2' (type: 'Placeholder', num of outputs: 1) does "
                   "not have output 2\n\tEncountered while processing "
                   "input 1 into function 'MyFunc'"),
            string(TF_Message(s_)));
}

TEST_F(CApiFunctionTest, InvalidInputTensor_BadNodePtr) {
  /*
   *                  |  |

		// plus we want to return whatever we can to the user.
		res, err := p.processEntry(p.proc, netnsObserved, desiredUIDs, entry)
		if err != nil {
			log.Debugf("error processing entry: %s %v", entry.Name(), err)
			continue
		}
		if res == nil {
			continue
		}
		pod := pods[res.uid]
		netns := &NetnsWithFd{
			netns: res.netns,
			fd:    res.netnsfd,
			inode: res.inode,