@Timeout(value = 5, unit = TimeUnit.SECONDS)
    void testLeakDetection() throws InterruptedException {
        // Create resource that will be garbage collected without closing
        createLeakyResource();

        // Force garbage collection
        System.gc();
        Thread.sleep(200);

        // Check for leaks
        resourceManager.checkForLeaks();

 */

package jcifs.smb1.smb1;

import jcifs.smb1.Config;

/**
 * Buffer cache implementation for SMB1 protocol operations.
 * Manages a pool of byte buffers to reduce garbage collection overhead.
 *
 * Performance optimizations:
 * - Uses ConcurrentLinkedQueue for O(1) operations
 * - Lock-free operations for better concurrency
 * - Proper buffer validation and limits
 */

            ResourceHolder holder = entry.getValue();

            // Check if resource is abandoned
            if (!holder.closed && !holder.isAlive()) {
                // Resource object has been garbage collected but not closed
                reportLeak(holder);
                activeResources.remove(entry.getKey());
                cleaned++;
            } else if (!holder.closed && holder.getAge() > maxResourceAge * 2) {

        // Ensure proper cleanup before delete
        file.close();
        Thread.sleep(500); // Give more time for handle release
        System.gc(); // Force garbage collection
        Thread.sleep(200);

        // Delete using a completely new context to avoid handle issues
        CIFSContext deleteContext = createFreshContext();

				return true
			}
		}
		return false
	}

	if hadoop && delimiter == SlashSeparator && maxKeys == 2 && marker == "" {
		// Optimization for Spark/Hadoop workload where spark sends a garbage
		// request of this kind
		//
		// GET /testbucket/?list-type=2&delimiter=%2F&max-keys=2&prefix=parquet%2F_SUCCESS%2F&fetch-owner=false
		//

    backward compatibility.
*   Move `layers_dense_variational_impl.py` to `layers_dense_variational.py`.

## Known Bugs

*   Using XLA:GPU with CUDA 9 and CUDA 9.1 results in garbage results and/or
    `CUDA_ILLEGAL_ADDRESS` failures.

    Google discovered in mid-December 2017 that the PTX-to-SASS compiler in CUDA
    9 and CUDA 9.1 sometimes does not properly compute the carry bit when

- The garbage collection controller no longer raced with changes to `ownerReferences` when deleting orphaned objects. ([#132632](https://github.com/kubernetes/kubernetes/pull/132632), [@sdowell](https://github.com/sdowell)) [SIG API Machinery and Apps]