const TF_ImportGraphDefOptions* options, TF_Status* status);

// Import the graph serialized in `graph_def` into `graph`.
// Convenience function for when only return outputs are needed.
//
// `num_return_outputs` must be the number of return outputs added (i.e. the
// result of TF_ImportGraphDefOptionsNumReturnOutputs()).  If
// `num_return_outputs` is non-zero, `return_outputs` must be of length

    if (parentPath == null) {
      throw new FileSystemException(path.toString(), null, "can't delete recursively");
    }

    Collection<IOException> exceptions = null; // created lazily if needed
    try {
      boolean sdsSupported = false;
      try (DirectoryStream<Path> parent = Files.newDirectoryStream(parentPath)) {
        if (parent instanceof SecureDirectoryStream) {
          sdsSupported = true;

    if (parentPath == null) {
      throw new FileSystemException(path.toString(), null, "can't delete recursively");
    }

    Collection<IOException> exceptions = null; // created lazily if needed
    try {
      boolean sdsSupported = false;
      try (DirectoryStream<Path> parent = Files.newDirectoryStream(parentPath)) {
        if (parent instanceof SecureDirectoryStream) {
          sdsSupported = true;

      "FINE: Q10000 finished run in   0 µs: task one",
    )
  }

  /**
   * The runner doesn't hold references to its queues! Otherwise we'd need a mechanism to clean them
   * up when they're no longer needed and that's annoying. Instead the task runner only tracks which
   * queues have work scheduled.
   */
  @Test fun activeQueuesContainsOnlyQueuesWithScheduledTasks() {
    redQueue.execute("task one", 100.µs) {

            // -1
            //  or QUALIFIERS.size and then resort to lexical ordering. Most comparisons are decided by the first
            // character,
            // so this is still fast. If more characters are needed then it requires a lexical sort anyway.
            return i == -1 ? (QUALIFIERS.size() + "-" + qualifier) : String.valueOf(i);
        }

        @Override
        public int compareTo(Item item) {

// explicitly after commenting out t.Skip()
func TestErasureDecodeRandomOffsetLength(t *testing.T) {
	if testing.Short() {
		t.Skip()
	}
	// Initialize environment needed for the test.
	dataBlocks := 7
	parityBlocks := 7
	blockSize := int64(1 * humanize.MiByte)
	setup, err := newErasureTestSetup(t, dataBlocks, parityBlocks, blockSize)
	if err != nil {
		t.Error(err)
		return

    }

    FieldSettersHolder.MAP_FIELD_SETTER.set(this, tmpMap);
    FieldSettersHolder.SIZE_FIELD_SETTER.set(this, tmpSize);
  }

  @GwtIncompatible // Not needed in emulated source
  @J2ktIncompatible
  private static final long serialVersionUID = 0;

   * needs to be created in order to invoke a method or constructor. The default value isn't used in
   * testing {@link Object#equals} because more than one sample instances are needed for testing
   * inequality.
   */
  protected final <T> void setDefault(Class<T> type, T value) {
    tester.setDefault(type, value);
  }

  /**

    private SmbNegotiation negotiate2 ( Smb2NegotiateResponse first ) throws IOException, SocketException {
        int size = 0;

        int securityMode = getRequestSecurityMode(first);

        // further negotiation needed
        Smb2NegotiateRequest smb2neg = new Smb2NegotiateRequest(getContext().getConfig(), securityMode);
        Smb2NegotiateResponse r = null;
        byte[] negoReqBuffer = null;
        byte[] negoRespBuffer = null;

 *
 * <p><strong>Performance</strong>
 *
 * <p>The extra bookkeeping done by cycle detecting locks comes at some cost to performance.
 * Benchmarks (as of December 2011) show that:
 *
 * <ul>
 *   <li>for an unnested {@code lock()} and {@code unlock()}, a cycle detecting lock takes 38ns as
 *       opposed to the 24ns taken by a plain lock.
 *   <li>for nested locking, the cost increases with the depth of the nesting:
 *       <ul>