code: def test_networkxs_to_graphs_tuple(self):
      graph0 = utils_np.data_dicts_to_graphs_tuple(self.graphs_dicts_in)
      graph_nxs = []
      for data_dict in self.graphs_dicts_in:
          graph_nxs.append(_single_data_dict_to_networkx(data_dict))
          hints = {
              "edge_shape_hint": data_dict["edges"].shape[1:],
              "node_shape_hint": data_dict["nodes"].shape[1:],
              "data_type_hint": data_dict["nodes"].dtype,
          }
      graph = utils_np.networkxs_to_graphs_tuple(graph_nxs, **hints)
      self._assert_graph_equals_np(
          graph0, graph, force_edges_ordering=True
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  from absl.testing import parameterized
  from graph_nets import utils_np
  from graph_nets.tests import test_utils
  import networkx
  import numpy
  from six.moves import range
  import tensorflow
label_desc: Use image node_id 3 for calling the NetworkxConversionTest obj's underlying member method code with example usage: obj.test_networkxs_to_graphs_tuple() without return types