old_contents: import os
  import mxnet as mx
  import numpy as np
  
  def same(a, b):
      return np.sum(a != b) == 0
  
  def check_with_device(device):
      with mx.Context(device):
          a, b = -10, 10
          mu, sigma = 10, 2
          shape = (100, 100)
          mx.random.seed(128)
          ret1 = mx.random.normal(mu, sigma, shape)
          un1 = mx.random.uniform(a, b, shape)
          mx.random.seed(128)
          ret2 = mx.random.normal(mu, sigma, shape)
          un2 = mx.random.uniform(a, b, shape)
          assert same(ret1.asnumpy(), ret2.asnumpy())
          assert same(un1.asnumpy(), un2.asnumpy())
          assert abs(np.mean(ret1.asnumpy()) - mu) < 0.1
          assert abs(np.std(ret1.asnumpy()) - sigma) < 0.1
          assert abs(np.mean(un1.asnumpy()) - (a+b)/2) < 0.1
  
  
  def test_random():
      check_with_device(mx.cpu())
  
  
  if __name__ == '__main__':
      test_random()
  
  
new_contents: import os
  import mxnet as mx
  import numpy as np
  
  def same(a, b):
      return np.sum(a != b) == 0
  
  def check_with_device(device):
      with mx.Context(device):
          a, b = -10, 10
          mu, sigma = 10, 2
          for i in range(5):
              shape = (100 + i, 100 + i)
              mx.random.seed(128)
              ret1 = mx.random.normal(mu, sigma, shape)
              un1 = mx.random.uniform(a, b, shape)
              mx.random.seed(128)
              ret2 = mx.random.normal(mu, sigma, shape)
              un2 = mx.random.uniform(a, b, shape)
              assert same(ret1.asnumpy(), ret2.asnumpy())
              assert same(un1.asnumpy(), un2.asnumpy())
              assert abs(np.mean(ret1.asnumpy()) - mu) < 0.1
              assert abs(np.std(ret1.asnumpy()) - sigma) < 0.1
              assert abs(np.mean(un1.asnumpy()) - (a+b)/2) < 0.1
  
  
  def test_random():
      check_with_device(mx.cpu())
  
  
  if __name__ == '__main__':
      test_random()
  
  
subject: Update random number generator test