*
   * @param q the blocking queue to be drained
   * @param buffer where to add the transferred elements
   * @param numElements the number of elements to be waited for
   * @param timeout how long to wait before giving up
   * @return the number of elements transferred
   * @throws InterruptedException if interrupted while waiting
   * @since 33.4.0 (but since 28.0 in the JRE flavor)

TF_CAPI_EXPORT extern TF_Library* TF_LoadLibrary(const char* library_filename,
                                                 TF_Status* status);

// Get the OpList of OpDefs defined in the library pointed by lib_handle.
//
// Returns a TF_Buffer. The memory pointed to by the result is owned by
// lib_handle. The data in the buffer will be the serialized OpList proto for
// ops defined in the library.

          return false;
        } else {
          long now = System.nanoTime();
          NANOSECONDS.timedWait(lock, nanos);
          nanos -= System.nanoTime() - now; // subtract the actual time we waited
        }
      }
    }
  }

  /**
   * Checks if the executor has been shut down and increments the running task count.
   *

		l.IDMap[id] = prev
		shouldLog = false
	}
	l.Unlock()

	if shouldLog {
		logIf(ctx, subsystem, err, errKind...)
	}
}

// Cleanup the map every one hour so that the log message is printed again for the user to notice.
func (l *logOnceType) cleanupRoutine() {
	for {
		time.Sleep(time.Hour)

		l.Lock()
		l.IDMap = make(map[string]onceErr)
		l.Unlock()
	}
}

import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryShardContext;

/**
 * A query builder for a stored LTR (Learning to Rank) query.
 * This builder constructs a query that uses a pre-trained LTR model
 * to re-rank search results based on a given set of features.
 */
public class StoredLtrQueryBuilder extends AbstractQueryBuilder<StoredLtrQueryBuilder> implements NamedWriteable {
    /** The name of the query. */

    }

    /**
     * Ensures toString contains key fields with expected formatting.
     */
    @Test
    void testToStringContainsExpectedFields() {
        // Given
        int sid = 4660; // 0x1234, printed as decimal
        int resumeKey = 0x01020304; // shows only low 4 hex digits per implementation
        String name = "name";
        Trans2FindNext2 next = new Trans2FindNext2(sid, resumeKey, name);

        // When

	// not able to calculate terminal width via OS syscalls
	termWidth := 25
	if width, err := pb.GetTerminalWidth(); err == nil {
		termWidth = width
	}

	// Box cannot be printed if terminal width is small than maxContentWidth
	if maxContentWidth > termWidth {
		return "\n" + line1InColor + "\n" + line2InColor + "\n\n"
	}

	topLeftChar := "┏"
	topRightChar := "┓"
	bottomLeftChar := "┗"

- `/test/e2e/framework`: Adds a flag `non-blocking-taints` which allows tests to run in environments with tainted nodes. String value should be a comma-separated list. ([#81043](https://github.com/kubernetes/kubernetes/pull/81043), [@johnSchnake](https://github.com/johnSchnake))

				return
			}
		}
		// Once is set and we are here means error was already
		// printed once.
		if once {
			return
		}
		// once not set, check if same error occurred 3 times in
		// a row, then make sure we print it to call attention.
		if m[err.Error()] > 2 {
			peersLogAlwaysIf(ctx, fmt.Errorf("Following error has been printed %d times.. %w", m[err.Error()], err))
			// Reduce the count to introduce further delay in printing

};
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

namespace tensorflow {

// Set the shapes and types of the output's handle.
//
// The lengths of the arrays pointed to by `shapes`, `ranks`, and `types` must
// all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the
// rank is known), then it must be equal to the length of `shapes[i]`; if