* License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
package jcifs;


/**
 * Handle to an open file
 * 
 * @author mbechler
 *
 */
public interface SmbFileHandle extends AutoCloseable {

    /**
     * @return the tree
     */
    SmbTreeHandle getTree ();


    /**

      // Runnable is executed more than once, allocate a wrapper that we know is safe to remove by
      // object identity.
      // A data structure that returned a removal handle from add() would allow eliminating this
      // allocation.
      submittedTask =
          new Runnable() {
            @Override
            public void run() {
              task.run();
            }

      // Runnable is executed more than once, allocate a wrapper that we know is safe to remove by
      // object identity.
      // A data structure that returned a removal handle from add() would allow eliminating this
      // allocation.
      submittedTask =
          new Runnable() {
            @Override
            public void run() {
              task.run();
            }

//
// On success, returns the newly created library handle and places OK in status.
// The caller owns the library handle.
//
// On failure, returns nullptr and places an error status in status.
TF_CAPI_EXPORT extern TF_Library* TF_LoadPluggableDeviceLibrary(
    const char* library_filename, TF_Status* status);

// Frees the memory associated with the library handle.
// Does NOT unload the library.

## Create a task function

Create a function to be run as the background task.

It is just a standard function that can receive parameters.

It can be an `async def` or normal `def` function, **FastAPI** will know how to handle it correctly.

In this case, the task function will write to a file (simulating sending an email).

And as the write operation doesn't use `async` and `await`, we define the function with normal `def`:

  TFE_DeleteOp(op);
  if (TF_GetCode(s) != TF_OK) return;
  std::vector<TFE_TensorHandle*> unwrapped_outputs;
  unwrapped_outputs.reserve(op_outputs.size());
  for (auto* handle : op_outputs) {
    unwrapped_outputs.push_back(handle);
  }
  for (int i = 0; i < *num_outputs; ++i) {
    auto logged_tensor = std::make_unique<LoggedTensor>(unwrapped_outputs[i]);
    outputs[i] = MakeLoggedTensorHandle(context, dev->device_name,

    this.radix = radix;
  }

  static ParseRequest fromString(String stringValue) {
    if (stringValue.length() == 0) {
      throw new NumberFormatException("empty string");
    }

    // Handle radix specifier if present
    String rawValue;
    int radix;
    char firstChar = stringValue.charAt(0);
    if (stringValue.startsWith("0x") || stringValue.startsWith("0X")) {
      rawValue = stringValue.substring(2);

	errFatal(err)
	b.Cleanup(grid.Cleanup)
	const responses = 10
	// Create n managers.
	for _, remote := range grid.Managers {
		// Register a single handler which echos the payload.
		errFatal(remote.RegisterStreamingHandler(handlerTest, StreamHandler{
			// Send 10x response.
			Handle: func(ctx context.Context, payload []byte, _ <-chan []byte, out chan<- []byte) *RemoteErr {
				for i := 0; i < responses; i++ {

    /**
     * @return tree connection
     * @throws SmbException
     * @throws CIFSException
     */
    SmbTreeHandleInternal ensureTreeConnected () throws CIFSException;


    /**
     * @return file handle
     * @throws CIFSException
     */
    SmbFileHandle ensureOpen () throws CIFSException;


    /**
     * @param buf
     * @param off
     * @param length
     * @param direct

  virtual ImmediateExecutionContext* GetContext() const = 0;

  // Following two methods are used to support custom device.
  // Return true if the inputs contain custom device tensor handle. It means
  // that the argument need to be handled by a custom device.
  virtual bool HasCustomDeviceInput() const = 0;

  virtual const tensorflow::OpDef* OpDef() const = 0;