Random Number Generator in Python

random.py

# imports for abstract classes
from abc import ABCMeta, abstractmethod
import time


''' ==============================================================================================
Seed Classes
==============================================================================================='''
class Seed(object):
  """Abstract class for seeds"""

  __metaclass__ = ABCMeta

  @abstractmethod
  # Function that generates seed
  def generate_seed(self):
    pass

class TimeSeed(Seed):
  """ Generates seed from current time """

  def generate_seed(self):
    return time.time()

''' ==============================================================================================
End Seed Classes
==============================================================================================='''



''' ==================================================================================================
Randomizer Classes
==================================================================================================='''
class Randomizer(object):
  """Abstract class to generate random numbers"""

  __metaclass__ = ABCMeta

  @abstractmethod
  # Function that generates random numbers
  # 'Decorate' seed onto the random number generator
  def random(self, start, end, seed):
    pass


class XORShiftRandomizer(Randomizer):
  """XOR Shift Randomizer"""
  
  def random(self, start, end, seed):

    random_number = seed.generate_seed()

    # Get number after decimal point of seed because these are the numbers that actually vary
    random_number = random_number % 1
    random_number = str(random_number)

    # Check if the number is decimal first
    if random_number.find('.') != -1:
      random_number = random_number.split('.')[1]

    # Do not split if no decimal point and just take the integer as it is
    random_number = int(random_number)

    random_number ^= (random_number << 21);
    random_number ^= (random_number >> 35);
    random_number ^= (random_number << 4);

    # Convert the generated number to lie between start and end
    random_number = random_number % end
    if random_number < start:
      random_number = random_number + start

    return random_number


''' ==================================================================================================
End Randomizer Classes
==================================================================================================='''



if __name__ == "__main__":
  number_of_numbers = int(raw_input())
  number_of_digits = int(raw_input())

  xor_random = XORShiftRandomizer()

  if number_of_numbers == 0:
    exit(0)

  # Calculate start and end of the range from number of digits
  # start and end are starting as string because 0/9 will be appended to them and start and end will be generated. They will later be converted to integer
  start = "1"
  end = "9"
  if number_of_digits == 0:
    exit(0)
  elif number_of_digits == 1:
    start = 0
  else:
    while number_of_digits > 1:
      start = start + "0"
      end = end + "9"
      number_of_digits = number_of_digits - 1
  
  start = int(start)
  end = int(end)
  
  while number_of_numbers > 0:
    print xor_random.random(start, end, TimeSeed())
    number_of_numbers = number_of_numbers - 1

Just curious, what do you think about this article touting further speed improvements: http://xorshift.di.unimi.it/