code: def test_rank_predictions(self):
      predictions = np.array(
          [
              [1.0, 2.0, 3.0, 4.0],
              [4.0, 3.0, 2.0, 1.0],
              [3.0, 4.0, 1.0, 2.0],
          ],
          dtype=np.float32,
      )
  
      ranked = rank_predictions(predictions).eval(session=self.session)
  
      expected_ranks = np.array(
          [
              [4, 3, 2, 1],
              [1, 2, 3, 4],
              [2, 1, 4, 3],
          ],
          dtype=np.int,
      )
      self.assertTrue((ranked == expected_ranks).all())
  
file_path: tensorrec/test/test_recommendation_graphs.py
imports: import numpy
  import tensorflow
  import scipy.sparse
  from unittest import TestCase
  from tensorrec.prediction_graphs import CosineSimilarityPredictionGraph
  from tensorrec.recommendation_graphs import project_biases, split_sparse_tensor_indices, bias_prediction_dense, bias_prediction_serial, densify_sampled_item_predictions, rank_predictions, collapse_mixture_of_tastes, predict_similar_items
  from tensorrec.session_management import get_session
label_desc: Use image node_id 7 for calling the RecommendationGraphsTestCase obj's underlying member method code with example usage: obj.test_rank_predictions() without return types