code: def test_flow_repeat(barbell, repeat):
      generator = GraphWaveGenerator(
          barbell, scales=(0.1, 2, 3, 4), degree=10
      )
      sample_points = np.linspace(0, 100, 25)
  
      for i, x in enumerate(
          generator.flow(
              barbell.nodes(),
              sample_points=sample_points,
              batch_size=1,
              repeat=repeat,
          )
      ):
          if i > barbell.number_of_nodes():
              break
  
      assert (i > barbell.number_of_nodes()) == repeat
  
file_path: stellargraph/tests/mapper/test_graphwave_generator.py
imports: from stellargraph.core.graph import *
  from stellargraph.mapper.graphwave_generator import GraphWaveGenerator, _empirical_characteristic_function
  from ..test_utils.graphs import barbell
  import numpy
  import pytest
  import scipy.sparse
  import tensorflow
label_desc: Use image node_id 7 for calling a global function with example usage: test_flow_repeat(barbell, repeat) without return types