// Check for leaks
        resourceManager.checkForLeaks();

        Map<String, Object> stats = resourceManager.getStatistics();
        // The leak counter may or may not increment depending on GC timing
        assertNotNull(stats.get("totalLeaks"));
    }

    private void createLeakyResource() {
        TestResource resource = new TestResource("leaky");

	"sort"
	"strings"
	"time"
)

const (
	// deadline (in seconds) up to which the go routine leak detection has to be retried.
	leakDetectDeadline = 5
	// pause time (in milliseconds) between each snapshot at the end of the go routine leak detection.
	leakDetectPauseTimeMs = 50
)

// LeakDetect - type with  methods for go routine leak detection.
type LeakDetect struct {
	relevantRoutines map[string]bool
}

        }
    }

    /**
     * Check for and report resource leaks
     */
    public void checkForLeaks() {
        if (!leakDetectionEnabled) {
            return;
        }

        // Process phantom references to detect leaks
        Reference<?> ref;
        while ((ref = referenceQueue.poll()) != null) {
            handlePhantomReference(ref);

   * user-created objects that aren't accessible via this collection's methods. This is generally
   * used to determine whether {@code copyOf} implementations should make an explicit copy to avoid
   * memory leaks.
   */
  abstract boolean isPartialView();

  /**
   * Copies the contents of this immutable collection into the specified array at the specified
   * offset. Returns {@code offset + size()}.
   */

     */
    @Override
    public void releaseBuffer(final byte[] buf) {
        if (buf == null) {
            return;
        }
        // better safe than sorry: prevent leaks if there is some out of bound access
        Arrays.fill(buf, (byte) 0);
        synchronized (this.cache) {
            if (this.freeBuffers < this.cache.length) {
                for (int i = 0; i < this.cache.length; i++) {

   - sanjoy
# filesystem path
filesystem_path:
   - tensorflow/c/experimental/filesystem
# security path
security_path:
   - tensorflow/security
# words checklist
segfault_memory:
   - segfault
   - memory leaks
# assignees
filesystem_security_assignee:
   - mihaimaruseac
   
# Cuda Comment
cuda_comment: >
   From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries:

   * user-created objects that aren't accessible via this collection's methods. This is generally
   * used to determine whether {@code copyOf} implementations should make an explicit copy to avoid
   * memory leaks.
   */
  abstract boolean isPartialView();

  /**
   * Copies the contents of this immutable collection into the specified array at the specified
   * offset. Returns {@code offset + size()}.
   */

research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running
and leak or tamper with applications from other users. Please report
vulnerabilities to the vendor of the affected hardware accelerator.

  @Override public void log(String message) {
    Timber.tag("OkHttp").d(message);
  }
});
```

**Warning**: The logs generated by this interceptor when using the `HEADERS` or `BODY` levels have
the potential to leak sensitive information such as "Authorization" or "Cookie" headers and the
contents of request and response bodies. This data should only be logged in a controlled way or in
a non-production environment.

   * be otherwise.
   *
   *
   * This test leaks a response body by not closing it.
   *
   * https://github.com/square/okhttp/issues/2409
   */
  @Test
  fun connectionsAreNotReusedIfNetworkInterceptorInterferes() {
    val responsesNotClosed: MutableList<Response?> = ArrayList()
    client =
      client
        .newBuilder()
        // Since this test knowingly leaks a connection, avoid using the default shared connection