class_docstr: Tests of GraphSAGELinkGenerator class
code: def test_GraphSAGELinkGenerator_shuffle(self):
      def test_edge_consistency(shuffle):
          G = example_graph(feature_size=1)
          edges = list(G.edges())
          edge_labels = list(range(len(edges)))
  
          mapper = GraphSAGELinkGenerator(
              G, batch_size=2, num_samples=[0]
          ).flow(edges, edge_labels, shuffle=shuffle)
  
          assert len(mapper) == 2
  
          for batch in range(len(mapper)):
              nf, nl = mapper[batch]
              e1 = edges[nl[0]]
              e2 = edges[nl[1]]
              assert nf[0][0, 0, 0] == e1[0]
              assert nf[1][0, 0, 0] == e1[1]
              assert nf[0][1, 0, 0] == e2[0]
              assert nf[1][1, 0, 0] == e2[1]
  
      test_edge_consistency(True)
      test_edge_consistency(False)
  
imports: import numpy
  import networkx
  import pytest
  import random
  from stellargraph.mapper import *
  from stellargraph.core.graph import *
  from stellargraph.data.unsupervised_sampler import *
  from ..test_utils.graphs import example_graph, example_graph_random, example_hin_1, repeated_features, weighted_tree
  from ..None import test_utils
label_desc: Use image node_id 3 for calling the Test_GraphSAGELinkGenerator obj's underlying member method code with example usage: obj.test_GraphSAGELinkGenerator_shuffle() without return types