/**
   * A (self-inverse) bijection which converts the ordering on unsigned longs to the ordering on
   * longs, that is, {@code a <= b} as unsigned longs if and only if {@code flip(a) <= flip(b)} as
   * signed longs.
   */
  private static long flip(long a) {
    return a ^ Long.MIN_VALUE;
  }

  /**
   * Compares the two specified {@code long} values, treating them as unsigned values between {@code

   */
  public static int min(int... array) {
    checkArgument(array.length > 0);
    int min = flip(array[0]);
    for (int i = 1; i < array.length; i++) {
      int next = flip(array[i]);
      if (next < min) {
        min = next;
      }
    }
    return flip(min);
  }

  /**
   * Returns the greatest value present in {@code array}, treating values as unsigned.
   *

    checkNotNull(array);
    checkPositionIndexes(fromIndex, toIndex, array.length);
    for (int i = fromIndex; i < toIndex; i++) {
      array[i] = flip(array[i]);
    }
    Arrays.sort(array, fromIndex, toIndex);
    for (int i = fromIndex; i < toIndex; i++) {
      array[i] = flip(array[i]);
    }
  }

  /**
   * Sorts the elements of {@code array} in descending order, interpreting them as unsigned 8-bit
   * integers.

            request: UrlRequest,
            info: UrlResponseInfo,
            byteBuffer: ByteBuffer,
          ) {
            println("onReadCompleted ${info.headers.asMap}")
            byteBuffer.flip()
            buffer.write(byteBuffer)
            byteBuffer.clear()
            request.read(byteBuffer)
          }

          override fun onSucceeded(
            request: UrlRequest,

int TF_GraphNumFunctions(TF_Graph* g) {
  tensorflow::mutex_lock l(g->mu);
  return g->graph.flib_def().num_functions();
}

int TF_GraphGetFunctions(TF_Graph* g, TF_Function** funcs, int max_func,
                         TF_Status* status) {
  tensorflow::FunctionDefLibrary lib;
  {
    tensorflow::mutex_lock l(g->mu);
    lib = g->graph.flib_def().ToProto();
  }

                         const FunctionOptions& function_options,
                         std::unique_ptr<tensorflow::Graph>* graph,
                         tensorflow::FunctionLibraryDefinition* flib_def,
                         std::vector<std::string>* control_ret_node_names,
                         bool* control_rets_updated) override {
    // Inject failure to function instantiation if finding a node that contains

    }

    @Override
    public String toString() {
      return "(" + getRowKey() + "," + getColumnKey() + ")=" + getValue();
    }
  }

  /**
   * Creates a transposed view of a given table that flips its row and column keys. In other words,
   * calling {@code get(columnKey, rowKey)} on the generated table always returns the same value as
   * calling {@code get(rowKey, columnKey)} on the original table. Updating the original table

  delete lib_handle;
}

void TF_GraphRemoveFunction(TF_Graph* g, const char* func_name,
                            TF_Status* status) {
  tensorflow::mutex_lock l(g->mu);
  status->status = g->graph.mutable_flib_def()->RemoveFunction(func_name);

	FRES F1, F2                     // ec400830
	FRESCC F1, F2                   // ec400831
	FRIM F1, F2                     // fc400bd0
	FRIMCC F1, F2                   // fc400bd1
	FRIP F1, F2                     // fc400b90
	FRIPCC F1, F2                   // fc400b91
	FRIZ F1, F2                     // fc400b50
	FRIZCC F1, F2                   // fc400b51
	FRIN F1, F2                     // fc400b10

        if (node != nullptr && node->IsOp()) {
          NodeDef* const node_def = graph_def.add_node();
          *node_def = node->def();
        }
      }
      *graph_def.mutable_library() = graph.flib_def().ToProto();
      if (flags::Global().more_stack_traces.value()) {
        *graph_def.mutable_debug_info() = graph.BuildDebugInfo();
      }
      session->graph->mu.unlock();