input: Write a python function to calculate the accuracy score of a classifier using scikit-learn.
  assert calculate_accuracy(y_test=[0, 1, 1, 0], y_pred=[0, 1, 0, 0]) == 0.75
  assert calculate_accuracy(y_test=[1, 1, 0, 0], y_pred=[1, 1, 0, 1]) == 0.75
  assert calculate_accuracy(y_test=[1, 1, 1, 1], y_pred=[1, 1, 1, 1]) == 1.0
output: from sklearn.metrics import accuracy_score
  
  def calculate_accuracy(y_test, y_pred):
      return accuracy_score(y_test, y_pred)