input: Write a python function to calculate the root mean squared error (RMSE) between two lists using the mean_squared_error function from sklearn.metrics.
  assert calculate_rmse([1, 2, 3], [2, 3, 4]) == 1.0
  assert calculate_rmse([10, 20, 30], [10, 20, 30]) == 0.0
  assert calculate_rmse([1, 1, 1], [4, 4, 4]) == 3.0
output: from sklearn.metrics import mean_squared_error
  import math
  
  def calculate_rmse(y_true, y_pred):
      mse = mean_squared_error(y_true, y_pred)
      rmse = math.sqrt(mse)
      return rmse