code: def test_threshold(self):
      bin_acc_obj_1 = accuracy_metrics.BinaryAccuracy(
          name="binary_accuracy", dtype="float32", threshold=0.3
      )
      bin_acc_obj_2 = accuracy_metrics.BinaryAccuracy(
          name="binary_accuracy", dtype="float32", threshold=0.9
      )
      y_true = np.array([[1], [1], [0], [0]])
      y_pred = np.array([[0.98], [0.5], [0.1], [0.2]])
  
      bin_acc_obj_1.update_state(y_true, y_pred)
      bin_acc_obj_2.update_state(y_true, y_pred)
      result_1 = bin_acc_obj_1.result()
      result_2 = bin_acc_obj_2.result()
  
      # Higher threshold must result in lower measured accuracy.
      self.assertAllClose(result_1, 1.0)
      self.assertAllClose(result_2, 0.75)
  
imports: import re
  import numpy
  from keras import testing
  from keras.metrics import accuracy_metrics
label_desc: Use image node_id 4 for calling the BinaryAccuracyTest obj's underlying member method code with example usage: obj.test_threshold() without return types