public class ListenerCallQueueTest extends TestCase {

  private static final ListenerCallQueue.Event<Object> THROWING_EVENT =
      new ListenerCallQueue.Event<Object>() {
        @Override
        public void call(Object object) {
          throw new RuntimeException();
        }

        @Override
        public String toString() {
          return "throwing()";
        }
      };

     * we want writeAndXWireFormat to write the parameterWords
     * and bytes. This is so we can write batched smbs because
     * all but the first smb of the chaain do not have a header
     * and therefore we do not want to writeHeaderWireFormat. We
     * just recursivly call writeAndXWireFormat.
     */ 

    int encode( byte[] dst, int dstIndex ) {
        int start = headerStart = dstIndex;

 * **ExchangeFinder** chooses which connection carries each exchange. Where possible it will use the same connection for all exchanges in a single call. It prefers reusing pooled connections over establishing new connections.      

#### Per-Connection Locks

# https://github.com/apache/lucene-solr/blob/master/lucene/analysis/common/src/resources/org/apache/lucene/analysis/snowball/italian_stop.txt
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	OsOpen = os.Open
	// OsOpenFile allows overriding default function.
	OsOpenFile = os.OpenFile
)

// ReadFileWithFileInfo reads the named file and returns the contents.
// A successful call returns err == nil, not err == EOF.
// Because ReadFile reads the whole file, it does not treat an EOF from Read
// as an error to be reported.
func ReadFileWithFileInfo(name string) ([]byte, fs.FileInfo, error) {

   * inserted into the multiset must be <i>mutually comparable</i> by the specified comparator:
   * {@code comparator.compare(e1, e2)} must not throw a {@code ClassCastException} for any elements
   * {@code e1} and {@code e2} in the multiset. If the user attempts to add an element to the
   * multiset that violates this constraint, the {@code add(Object)} call will throw a {@code
   * ClassCastException}.

#include "tensorflow/c/eager/gradients.h"

namespace tensorflow {
namespace gradients {
namespace internal {

// Helper functions which delegate to `AbstractOperation`, update
// the state of the ForwardOperation and call the tape as appropriate.
// These APIs are mainly to facilitate testing and are subject to change.

// Records the op name in the `ForwardOperation`.
absl::Status Reset(AbstractOperation*, const char* op,

import java.util.concurrent.TimeUnit;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A TimeLimiter implementation which actually does not attempt to limit time at all. This may be
 * desirable to use in some unit tests. More importantly, attempting to debug a call which is
 * time-limited would be extremely annoying, so this gives you a time-limiter you can easily swap in
 * for your real time-limiter while you're debugging.
 *

# Debugging

You can connect the debugger in your editor, for example with Visual Studio Code or PyCharm.

## Call `uvicorn`

In your FastAPI application, import and run `uvicorn` directly:

```Python hl_lines="1  15"
{!../../docs_src/debugging/tutorial001.py!}
```

### About `__name__ == "__main__"`

The main purpose of the `__name__ == "__main__"` is to have some code that is executed when your file is called with:

    ListeningScheduledExecutorService executor = TestingExecutors.noOpScheduledExecutor();
    taskDone = false;
    Callable<Boolean> task =
        new Callable<Boolean>() {
          @Override
          public Boolean call() {
            taskDone = true;
            return taskDone;
          }
        };
    List<Future<Boolean>> futureList = executor.invokeAll(ImmutableList.of(task), 10, MILLISECONDS);