code: def test_unweighted(self):
      bin_acc_obj = accuracy_metrics.BinaryAccuracy(
          name="binary_accuracy", dtype="float32"
      )
      y_true = np.array([[1], [1], [0], [0]])
      y_pred = np.array([[0.98], [1], [0], [0.6]])
      bin_acc_obj.update_state(y_true, y_pred)
      result = bin_acc_obj.result()
      self.assertAllClose(result, 0.75, atol=1e-3)
  
      # Test broadcasting case
      bin_acc_obj = accuracy_metrics.BinaryAccuracy(
          name="binary_accuracy", dtype="float32"
      )
      y_true = np.array([1, 1, 0, 0])
      y_pred = np.array([[0.98], [1], [0], [0.6]])
      bin_acc_obj.update_state(y_true, y_pred)
      result = bin_acc_obj.result()
      self.assertAllClose(result, 0.75, atol=1e-3)
  
imports: import re
  import numpy
  from keras import testing
  from keras.metrics import accuracy_metrics
label_desc: Use image node_id 2 for calling the BinaryAccuracyTest obj's underlying member method code with example usage: obj.test_unweighted() without return types