input: from typing import Tuple, List
  
  def train_linear_regression(data: Tuple[List[float], List[float]]) -> None:
      """ Train a simple linear regression model using the input data and visualize the results.
      The data is given as a tuple containing two lists: X (independent variable) and Y (dependent variable).
      >>> train_linear_regression(([1, 2, 3, 4, 5], [1, 2, 3, 4, 5]))
      No output, but a plot should be displayed showing the regression line and the dots representing the data points.
      """
output:     import numpy as np
      import matplotlib.pyplot as plt
  
      X, Y = data
      X = np.array(X).reshape(-1, 1)
      Y = np.array(Y)
  
      from sklearn.linear_model import LinearRegression
      model = LinearRegression()
      model.fit(X, Y)
  
      plt.scatter(X, Y, color='blue')
      plt.plot(X, model.predict(X), color='red')
      plt.xlabel('X')
      plt.ylabel('Y')
      plt.title('Linear Regression')
      plt.show()