*/
  fun truncateLastFrame(length: Int): Http2Writer {
    val lastFrame = outFrames.removeAt(outFrames.size - 1)
    require(length < bytesOut.size - lastFrame.start)

    // Move everything from bytesOut into a new buffer.
    val fullBuffer = Buffer()
    bytesOut.read(fullBuffer, bytesOut.size)

    // Copy back all but what we're truncating.
    fullBuffer.read(bytesOut, lastFrame.start + length)

</p>

<p>
Not introducing data races into race-free programs means not moving
writes out of conditional statements in which they appear.
For example, a compiler must not invert the conditional in this program:
</p>

<pre>
*p = 1
if cond {
	*p = 2
}
</pre>

<p>
That is, the compiler must not rewrite the program into this one:
</p>

<pre>
*p = 2
if !cond {

    return CollectCollectors.toImmutableSetMultimap(keyFunction, valueFunction);
  }

  /**
   * Returns a {@code Collector} accumulating entries into an {@code ImmutableSetMultimap}. Each
   * input element is mapped to a key and a stream of values, each of which are put into the
   * resulting {@code Multimap}, in the encounter order of the stream and the encounter order of the
   * streams of values.
   *
   * <p>Example:
   *

// Limit specify the number of records to be retrieved
//
// Limit conditions can be cancelled by using `Limit(-1)`.
//
//	// retrieve 3 users
//	db.Limit(3).Find(&users)
//	// retrieve 3 users into users1, and all users into users2
//	db.Limit(3).Find(&users1).Limit(-1).Find(&users2)
func (db *DB) Limit(limit int) (tx *DB) {
	tx = db.getInstance()
	tx.Statement.AddClause(clause.Limit{Limit: &limit})
	return
}

*   TensorFlow Debugger (tfdbg) CLI: ncurses-based CLI for tfdbg v1 was removed.

        } finally {
          taskRunner.lock.withLock {
            activeThreads--
            startNextTask()
          }
        }
      }
    }
  }

  /**
   * This blocking queue hooks into a fake clock rather than using regular JVM timing for functions
   * like [poll]. It is only usable within task faker tasks.
   */
  private inner class TaskFakerBlockingQueue<T>(
    val delegate: BlockingQueue<T>,

    };

    static final String[] NT_STATUS_MESSAGES = {
        "The operation completed successfully.", "Request is pending", "A notify change request is being completed.",
        "The data was too large to fit into the specified buffer.", "A device attached to the system is not functioning.", "Incorrect function.",
        "The parameter is incorrect.", "Invalid access to memory location.", "The handle is invalid.", "The parameter is incorrect.",

And the part after the `yield` will be executed **after** the application has finished.

### Async Context Manager

If you check, the function is decorated with an `@asynccontextmanager`.

That converts the function into something called an "**async context manager**".

{* ../../docs_src/events/tutorial003.py hl[1,13] *}

  }

  /**
   * Returns a {@code Collector} accumulating entries into a {@code Multimap} generated from the
   * specified supplier. Each input element is mapped to a key and a stream of values, each of which
   * are put into the resulting {@code Multimap}, in the encounter order of the stream and the
   * encounter order of the streams of values.
   *
   * <p>Example:

 * be opened, written to, read from and closed using the standard Win32
 * file operations.
 * </ul>
 *
 * <p>
 * The jCIFS API maps all of these operations into the standard Java
 * <code>XxxputStream</code> interface. A special <code>PIPE_TYPE</code>
 * flags is necessary to distinguish which type of Named Pipe behavior
 * is desired.
 *
 * <p>