input: 
  def generate_histogram(data):
      """ Using the data provided, generate and display a histogram in Python.
      >>> generate_histogram([3, 5, 7, 2, 8, 10, 11, 65, 72, 81, 99, 100, 150])
      # Visual representation of the histogram with x-axis labeled 'Range of values',
      # y-axis labeled 'Number of Occurrences', and title 'Histogram of data'.
      """
  
output:     import matplotlib.pyplot as plt
      import numpy as np
  
      # Calculate the number of bins
      num_bins = int(np.sqrt(len(data)))
  
      # Create the histogram
      plt.hist(data, bins=num_bins, color='blue', alpha=0.7)
  
      # Label the axes and add a title
      plt.xlabel('Range of values')
      plt.ylabel('Number of Occurrences')
      plt.title('Histogram of data')
  
      # Display the histogram
      plt.show()