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()


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()


Revert "Update random number generator test"
Revert "Update random number generator test"

This reverts commit b63bda37aa2e9b5251cf6c54d59785d2856659ca.

  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)
+         shape = (100, 100)
-             mx.random.seed(128)
+         mx.random.seed(128)
-             ret1 = mx.random.normal(mu, sigma, shape)
+         ret1 = mx.random.normal(mu, sigma, shape)
-             un1 = mx.random.uniform(a, b, shape)
+         un1 = mx.random.uniform(a, b, shape)
-             mx.random.seed(128)
+         mx.random.seed(128)
-             ret2 = mx.random.normal(mu, sigma, shape)
+         ret2 = mx.random.normal(mu, sigma, shape)
-             un2 = mx.random.uniform(a, b, shape)
+         un2 = mx.random.uniform(a, b, shape)
-             assert same(ret1.asnumpy(), ret2.asnumpy())
+         assert same(ret1.asnumpy(), ret2.asnumpy())
-             assert same(un1.asnumpy(), un2.asnumpy())
+         assert same(un1.asnumpy(), un2.asnumpy())
-             assert abs(np.mean(ret1.asnumpy()) - mu) < 0.1
+         assert abs(np.mean(ret1.asnumpy()) - mu) < 0.1
-             assert abs(np.std(ret1.asnumpy()) - sigma) < 0.1
+         assert abs(np.std(ret1.asnumpy()) - sigma) < 0.1
-             assert abs(np.mean(un1.asnumpy()) - (a+b)/2) < 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()
  
  
Revert "Update random number generator test"
## Code Before:
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()


## Instruction:
Revert "Update random number generator test"
## Code After:
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()

