code: def test_basic_usage(self):
      import numpy as np
      import tensorrec
  
      # Build the model with default parameters
      model = tensorrec.TensorRec()
  
      # Generate some dummy data
      (
          interactions,
          user_features,
          item_features,
      ) = tensorrec.util.generate_dummy_data(
          num_users=100, num_items=150, interaction_density=0.05
      )
  
      # Fit the model for 5 epochs
      model.fit(
          interactions,
          user_features,
          item_features,
          epochs=5,
          verbose=True,
      )
  
      # Predict scores and ranks for all users and all items
      predictions = model.predict(
          user_features=user_features, item_features=item_features
      )
      predicted_ranks = model.predict_rank(
          user_features=user_features, item_features=item_features
      )
  
      # Calculate and print the recall at 10
      r_at_k = tensorrec.eval.recall_at_k(
          predicted_ranks, interactions, k=10
      )
      print(np.mean(r_at_k))
  
      self.assertIsNotNone(predictions)
  
imports: from unittest import TestCase
label_desc: Use image node_id 1 for calling the ReadmeTestCase obj's underlying member method code with example usage: obj.test_basic_usage() without return types