expression: KtSimpleNameExpression,
        analysisSession: KtFirAnalysisSession,
        session: FirSession,
        symbolBuilder: KtSymbolByFirBuilder
    ): List<KtSymbol> {
        // Handle situation when we're in the middle/beginning of qualifier
        // <caret>A.B.C.foo() or A.<caret>B.C.foo()
        // NB: in this case we get some parent FIR, like FirBlock, FirProperty, FirFunction or the like

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

        ],
    }),
)

cc_library(
    name = "immediate_execution_tensor_handle",
    srcs = ["immediate_execution_tensor_handle.cc"],
    hdrs = ["immediate_execution_tensor_handle.h"],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        ":abstract_tensor_handle",
        "//tensorflow/c:tensor_interface",
        "//tensorflow/core:framework",

	// There is flow control in both directions.
	StreamHandler struct {
		// Handle an incoming request. Initial payload is sent.
		// Additional input packets (if any) are streamed to request.
		// Upstream will block when request channel is full.
		// Response packets can be sent at any time.
		// Any non-nil error sent as response means no more responses are sent.
		Handle StreamHandlerFn

		// Subroute for handler.

    if (it != loaded_libs->end()) {
      lib_handle->lib_handle = it->second;
    } else {
      status->status =
          env->LoadDynamicLibrary(library_filename, &lib_handle->lib_handle);
      if (status->status.ok()) {
        TF_CHECK_OK(
            tensorflow::RegisterPluggableDevicePlugin(lib_handle->lib_handle));
      } else {
        delete lib_handle;
        return nullptr;
      }
    }

`Make[T]` function, which produces a reference to a canonical copy of
the value in the form of a `Handle[T]`.
Two `Handle[T]` are equal if and only if the values used to produce the
handles are equal, allowing programs to deduplicate values and reduce
their memory footprint.
Comparing two `Handle[T]` values is efficient, reducing down to a simple

    tensorflow::ImmediateExecutionTensorHandle* unwrapped_handle =
        tensorflow::unwrap(handles[i]);
    if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) {
      // One of the inputs we're trying to pack is on a custom device. We'll let
      // the first custom device we see handle all of the packing.
      auto* custom_device_handle =
          tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(

        System.out.println("serving docs at http://localhost:" + getPort().get());
        DeploymentRegistry registry = getDeploymentRegistry();
        JavaApplicationHandle handle = registry.get(getPath(), JavaApplicationHandle.class);
        if (handle == null) {
            JavaExecHandleBuilder builder = getExecActionFactory().newJavaExec();
            builder.setExecutable(getJavaLauncher().get().getExecutablePath().getAsFile());

			return FileInfoVersions{}, err
		}
		versions, err = xlMeta.ListVersions(volume, path, allParts)
	}
	if err == nil && len(versions) == 0 {
		// This special case is needed to handle len(xlMeta.versions) == 0
		versions = []FileInfo{
			{
				Volume:   volume,
				Name:     path,
				Deleted:  true,
				IsLatest: true,
				ModTime:  timeSentinel1970,
			},
		}
	}
	if err != nil {

  if (!status->status.ok()) {
    delete lib_handle;
    return nullptr;
  }
  return lib_handle;
}

TF_Buffer TF_GetOpList(TF_Library* lib_handle) { return lib_handle->op_list; }

void TF_DeleteLibraryHandle(TF_Library* lib_handle) {
  if (lib_handle == nullptr) return;
  tensorflow::port::Free(const_cast<void*>(lib_handle->op_list.data));
  delete lib_handle;
}

TF_Buffer* TF_GetAllOpList() {