}
};

// An abstract operation describes an operation by its type, name, and
// attributes. It can be "executed" by the context with some input tensors.
// It is allowed to reusing the same abstract operation for multiple execution
// on a given context, with the same or different input tensors.
class TracingOperation : public AbstractOperation {
 protected:

    return hasCycle(network.asGraph());
  }

  /**
   * Performs a traversal of the nodes reachable from {@code startNode}. If we ever reach a node
   * we've already visited (following only outgoing edges and without reusing edges), we know
   * there's a cycle in the graph.
   */
  private static <N> boolean subgraphHasCycle(
      Graph<N> graph, Map<Object, NodeVisitState> visitedNodes, N startNode) {

                        logger.debug("Reusing existing session (both userId null). sessionId={}", sessionId);
                    }
                    return session;
                } else if (userId != null && userId.equals(sessionUserId)) {
                    session.touch();
                    if (logger.isDebugEnabled()) {
                        logger.debug("Reusing existing session. sessionId={}, userId={}", sessionId, userId);

 * number of streams, dynamically configured with `SETTINGS_MAX_CONCURRENT_STREAMS`. A connection
 * currently carrying zero streams is an idle stream. We keep it alive because reusing an existing
 * connection is typically faster than establishing a new one.
 *
 * When a single logical call requires multiple streams due to redirects or authorization

      long lastEntry = entries[srcIndex];
      entries[dstIndex] = lastEntry;
      entries[srcIndex] = UNSET;

      // also need to update whoever's "next" pointer was pointing to the last entry place
      // reusing "tableIndex" and "next"; these variables were no longer needed
      int tableIndex = getHash(lastEntry) & hashTableMask();
      int lastNext = table[tableIndex];
      if (lastNext == srcIndex) {

import org.codelibs.core.misc.Base64Util;

/**
 * A high-performance utility class for encrypting and decrypting data using cached {@link Cipher} instances.
 * <p>
 * This class provides efficient encryption/decryption by pooling and reusing cipher instances,
 * reducing the overhead of repeated cipher initialization. It supports both string-based keys

                LeaseEntry entry = leases.get(existingKey);
                if (entry != null && !entry.breaking) {
                    entry.lastAccessTime = System.currentTimeMillis();
                    log.debug("Reusing existing lease for path: {}", path);
                    return existingKey;
                }
            }

            // Check if we've reached max leases

   *     {@link #get(Object)}; may contain duplicates), in an increasing index order.
   */
  public Iterable<L> bulkGet(Iterable<? extends Object> keys) {
    // Initially using the list to store the keys, then reusing it to store the respective L's
    List<Object> result = newArrayList(keys);
    if (result.isEmpty()) {
      return ImmutableList.of();
    }
    int[] stripes = new int[result.size()];

                    log.debug("Error while checking for reuse", e);
                    continue;
                }

                if (log.isTraceEnabled()) {
                    log.trace("Reusing transport connection " + conn);
                }
                return conn.acquire();
            }
        }

        return null;
    }

    @Override

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

#ifdef __cplusplus
extern "C" {
#endif

// Resets `op_to_reset` with `op_or_function_name` and `raw_device_name`. This
// is for performance optimization by reusing an exiting unused op rather than
// creating a new op every time. If `raw_device_name` is `NULL` or empty, it
// does not set the device name. If it's not `NULL`, then it attempts to parse