code: def test_twitter_tennis_uo17():
      edges_in_snapshots = [
          88,
          113,
          273,
          423,
          718,
          625,
          640,
          758,
          434,
          137,
          289,
          450,
          625,
          489,
          336,
          462,
          284,
          130,
          188,
          335,
          523,
          652,
          584,
          619,
          452,
          198,
          206,
          387,
          464,
          698,
          601,
          434,
          279,
          180,
          162,
          350,
          613,
          793,
          474,
          368,
          231,
          195,
          152,
          404,
          591,
          709,
          642,
          476,
          413,
          248,
          160,
          296,
          521,
          727,
          725,
          542,
          200,
          157,
          268,
          382,
          638,
          612,
          640,
          588,
          250,
          142,
          142,
          197,
          341,
          458,
          395,
          535,
          256,
          128,
          180,
          274,
          732,
          610,
          632,
          732,
          481,
          194,
          206,
          241,
          287,
          304,
          376,
          742,
          196,
          172,
          117,
          220,
          311,
          389,
          610,
          596,
          165,
          183,
          183,
          163,
          406,
          738,
          464,
          209,
          103,
          143,
          115,
          227,
          203,
          455,
          638,
          195,
      ]
  
      check_tennis_data("uo17", 1000, None, edges_in_snapshots)
      check_tennis_data("uo17", 200, "encoded", edges_in_snapshots)
  
imports: import numpy
  import networkx
  from torch_geometric_temporal.signal import temporal_signal_split
  from torch_geometric_temporal.signal import StaticGraphTemporalSignal
  from torch_geometric_temporal.signal import DynamicGraphTemporalSignal
  from torch_geometric_temporal.signal import DynamicGraphStaticSignal
  from torch_geometric_temporal.signal import StaticHeteroGraphTemporalSignal
  from torch_geometric_temporal.signal import DynamicHeteroGraphTemporalSignal
  from torch_geometric_temporal.signal import DynamicHeteroGraphStaticSignal
  from torch_geometric_temporal.dataset import METRLADatasetLoader, PemsBayDatasetLoader
  from torch_geometric_temporal.dataset import ChickenpoxDatasetLoader, PedalMeDatasetLoader, WikiMathsDatasetLoader, EnglandCovidDatasetLoader
  from torch_geometric_temporal.dataset import TwitterTennisDatasetLoader, MontevideoBusDatasetLoader, MTMDatasetLoader
  from torch_geometric_temporal.dataset import WindmillOutputLargeDatasetLoader, WindmillOutputMediumDatasetLoader, WindmillOutputSmallDatasetLoader
label_desc: Use image node_id 38 for calling a global function with example usage: test_twitter_tennis_uo17() without return types