auth = NoAuthMiddleware
	}
	metricsRouter.Handle(prometheusMetricsPathLegacy, auth(metricsHandler()))
	metricsRouter.Handle(prometheusMetricsV2ClusterPath, auth(metricsServerHandler()))
	metricsRouter.Handle(prometheusMetricsV2BucketPath, auth(metricsBucketHandler()))
	metricsRouter.Handle(prometheusMetricsV2NodePath, auth(metricsNodeHandler()))
	metricsRouter.Handle(prometheusMetricsV2ResourcePath, auth(metricsResourceHandler()))

    while (lower <= upper) {
      int middle = (lower + upper) >>> 1;
      int c = comparator.compare(key, list.get(middle));
      if (c < 0) {
        upper = middle - 1;
      } else if (c > 0) {
        lower = middle + 1;
      } else {
        return lower
            + presentBehavior.resultIndex(
                comparator, key, list.subList(lower, upper + 1), middle - lower);
      }
    }

  TFE_OpSetDevice(op.get(), device, status);
  if (TF_GetCode(status) != TF_OK) return nullptr;
  TFE_TensorHandle* var_handle = nullptr;
  int num_retvals = 1;
  TFE_Execute(op.get(), &var_handle, &num_retvals, status);
  if (TF_GetCode(status) != TF_OK) return nullptr;
  return new Variable(var_handle, type);
}

void Variable::Destroy(TFE_Context* context, TF_Status* status) {
  // Free the backing buffer for the variable.

 */
package jcifs.dcerpc.msrpc;


import jcifs.dcerpc.rpc.policy_handle;
import jcifs.dcerpc.msrpc.lsarpc.LsarClose;


/**
 * 
 */
public class MsrpcLsarClose extends LsarClose {

    /**
     * @param handle
     */
    public MsrpcLsarClose ( policy_handle handle ) {
        super(handle);
        this.ptype = 0;
        this.flags = DCERPC_FIRST_FRAG | DCERPC_LAST_FRAG;
    }

pkg unique, func Make[$0 comparable]($0) Handle[$0] #62483
pkg unique, method (Handle[$0]) Value() $0 #62483

                              "VarHandleOp", TFE_OpGetAttrs(handle_op.get()),
                              /*expected_max_outputs=*/1, status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  const std::vector<std::unique_ptr<ParallelTensor>>& handles = *outputs;
  std::vector<ParallelTensor*> handle_inputs;
  handle_inputs.reserve(handles.size());
  for (auto& handle : handles) {
    handle_inputs.push_back(handle.get());

        ->DevicePointer();
  }
  // TODO(b/175427838): It would be nice to be able to use tensorflow::isa here.
  if (!tensorflow::TensorHandle::classof(unwrapped_handle)) {
    status->status = tensorflow::errors::InvalidArgument("Invalid handle");
    return nullptr;
  }
  tensorflow::TensorHandle* handle =
      tensorflow::TensorHandleFromInterface(unwrapped_handle);

            throw SmbException.wrap(e);
        }
    }


    SmbFileOutputStream ( SmbFile file, SmbTreeHandleImpl th, SmbFileHandleImpl handle, int openFlags, int access, int sharing )
            throws CIFSException {
        this.file = file;
        this.handle = handle;
        this.openFlags = openFlags;
        this.access = access;
        this.sharing = sharing;
        this.append = false;

     */
    synchronized SmbFileHandleImpl ensureOpen () throws CIFSException {
        if ( this.handle == null || !this.handle.isValid() ) {
            // one extra acquire to keep this open till the stream is released
            if ( this.file instanceof SmbNamedPipe ) {
                this.handle = this.file.openUnshared(
                    SmbConstants.O_EXCL,

// Creates or truncates the given filename and returns a handle to be used for
// appending data to the file. If status is TF_OK, *handle is updated and the
// caller is responsible for freeing it (see TF_CloseWritableFile).
TF_CAPI_EXPORT extern void TF_NewWritableFile(const char* filename,
                                              TF_WritableFileHandle** handle,
                                              TF_Status* status);