code: def test_sense2vec_most_similar():
      s2v = Sense2Vec(shape=(6, 4))
      s2v.add("a", numpy.asarray([4, 2, 2, 2], dtype=numpy.float32))
      s2v.add("b", numpy.asarray([4, 4, 2, 2], dtype=numpy.float32))
      s2v.add("c", numpy.asarray([4, 4, 4, 2], dtype=numpy.float32))
      s2v.add("d", numpy.asarray([4, 4, 4, 4], dtype=numpy.float32))
      s2v.add("x", numpy.asarray([4, 2, 2, 2], dtype=numpy.float32))
      s2v.add("y", numpy.asarray([0.1, 1, 1, 1], dtype=numpy.float32))
      result1 = s2v.most_similar(["x"], n=2)
      assert len(result1) == 2
      assert result1[0][0] == "a"
      assert result1[0][1] == 1.0
      assert result1[0][1] == pytest.approx(1.0)
      assert result1[1][0] == "b"
      result2 = s2v.most_similar(["a", "x"], n=2)
      assert len(result2) == 2
      assert sorted([key for key, _ in result2]) == ["b", "d"]
      result3 = s2v.most_similar(["a", "b"], n=3)
      assert len(result3) == 3
      assert "y" not in [key for key, _ in result3]
      assert len(s2v.most_similar(["a", "b"], n=10)) == 4
      with pytest.raises(ValueError):
          s2v.most_similar(["z"], n=1)
  
file_path: sense2vec/sense2vec/tests/test_sense2vec.py
imports: import pytest
  import numpy
  from sense2vec import Sense2Vec, registry
label_desc: Use image node_id 6 for calling a global function with example usage: test_sense2vec_most_similar() without return types