code: def test_encode_normalize(
      paraphrase_distilroberta_base_v1_model: SentenceTransformer,
  ) -> None:
      model = paraphrase_distilroberta_base_v1_model
      emb = model.encode(
          [
              "Hello Word, a test sentence",
              "Here comes another sentence",
              "My final sentence",
          ],
          normalize_embeddings=True,
      )
      assert emb.shape == (3, 768)
      for norm in np.linalg.norm(emb, axis=1):
          assert abs(norm - 1) < 0.001
  
imports: import numpy
  from sentence_transformers import SentenceTransformer
label_desc: Use image node_id 3 for calling a global function with example usage: test_encode_normalize(paraphrase_distilroberta_base_v1_model) without return types