std::unordered_map<std::string, tensorflow::Node*> name_map TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each
  // value records whether the graph has been mutated since the corresponding
  // session has been run (this is detected in RecordMutation function). If the
  // string is empty, no mutation has occurred. Otherwise the string is a

      return new LockFreeBitArray(toPlainArray(data));
    }

    /**
     * Combines the two BitArrays using bitwise OR.
     *
     * <p>NOTE: Because of the use of atomics, if the other LockFreeBitArray is being mutated while
     * this operation is executing, not all of those new 1's may be set in the final state of this
     * LockFreeBitArray. The ONLY guarantee provided is that all the bits that were set in the other

   * exists but cannot be used for another exchange, it is closed and this returns null.
   */
  private fun planReuseCallConnection(): ReusePlan? {
    // This may be mutated by releaseConnectionNoEvents()!
    val candidate = call.connection ?: return null

    // Make sure this connection is healthy & eligible for new exchanges. If it's no longer needed
    // then we're on the hook to close it.

	// Only needed for tracking
	globalServiceFreezeCnt int32
	globalServiceFreezeMu  sync.Mutex // Updates.

	// Map of local drives to this node, this is set during server startup,
	// disk reconnect and mutated by HealFormat. Hold globalLocalDrivesMu to access.
	globalLocalDrivesMap map[string]StorageAPI
	globalLocalDrivesMu  sync.RWMutex

    assertFalse(unmod.entries().contains(nefariousMapEntry("pwnd", 2)));
    assertFalse(unmod.keys().contains("pwnd"));
  }

  /**
   * The supplied multimap will be mutated and an unmodifiable instance used in its stead. The
   * multimap must support null keys and values.
   */
  private static void checkUnmodifiableMultimap(

   *
   * <p>For example, verify that calls to remove() actually removed the correct elements.
   *
   * @param elements the expected elements passed to the constructor, as mutated by {@code
   *     remove()}, {@code set()}, and {@code add()} calls
   */
  protected void verify(List<E> elements) {}

  /** Executes the test. */

// *num_retvals to the number of outputs.
//
// If async execution is enabled, the call may simply enqueue the execution
// and return "non-ready" handles in `retvals`. Note that any handles contained
// in 'op' should not be mutated till the kernel execution actually finishes.
//
// For sync execution, if any of the inputs to `op` are not ready, this call
// will block till they become ready and then return when the kernel execution
// is done.

   *
   * <p>For example, verify that calls to remove() actually removed the correct elements.
   *
   * @param elements the expected elements passed to the constructor, as mutated by {@code
   *     remove()}, {@code set()}, and {@code add()} calls
   */
  protected void verify(List<E> elements) {}

  /** Executes the test. */

     */
    public ImmutableLongArray build() {
      return count == 0 ? EMPTY : new ImmutableLongArray(array, 0, count);
    }
  }

  // Instance stuff here

  // The array is never mutated after storing in this field and the construction strategies ensure
  // it doesn't escape this class
  @SuppressWarnings("Immutable")
  private final long[] array;

  /*

// GraphDef type. These functions must be deleted by calling TF_DeleteFunction.
//
// If `mutate_proto_func` is non-NULL, run it over each FunctionDef proto,
// before creating a TF_Function out of the possibly mutated proto.
static std::vector<UniqueFuncPtr> CreateFunctionsFromTextProto(
    const char* text_proto,
    std::function<void(FunctionDef*)>* mutate_proto_func, TF_Status* status) {
  tensorflow::GraphDef gdef;