input: Write a function to predict the next day's forecast temperature using the exponential smoothing algorithm given the past three day's forecast temperatures. Return the predicted temperature.
  
  def predict_temperature(temperature_list):
      alpha = 0.5 #Confidence value
      predicted_temperature = temperature_list[-1] # Initializing prediction
      for temperature in temperature_list[:-1]:
          predicted_temperature = alpha*temperature + (1-alpha)*predicted_temperature
      return predicted_temperature
  
  assert predict_temperature([21, 22, 20]) == 21.25
  assert predict_temperature([18, 20, 19]) == 19.25
  assert predict_temperature([25, 25, 25]) == 25.0
  assert predict_temperature([30, 31, 30]) == 30.25
  assert predict_temperature([15, 16, 15]) == 15.25
output: def predict_temperature(temperature_list):
      alpha = 0.5
      predicted_temperature = temperature_list[-1]
      for temperature in temperature_list[:-1]:
          predicted_temperature = alpha * temperature + (1 - alpha) * predicted_temperature
      return predicted_temperature