code: def test_seed_changes_bucket():
      model1 = HashEmbed(64, 1000, seed=2).initialize()
      model2 = HashEmbed(64, 1000, seed=1).initialize()
      arr = numpy.ones((1,), dtype="uint64")
      vector1 = model1.predict(arr)
      vector2 = model2.predict(arr)
      assert vector1.sum() != vector2.sum()
  
imports: import numpy
  from thinc.api import HashEmbed
label_desc: Use image node_id 2 for calling a global function with example usage: test_seed_changes_bucket() without return types