code: def test_scaled_uniform(self):
      self.assertFalse(normal_test(Tensor.scaled_uniform))
      self.assertTrue(
          equal_distribution(
              Tensor.scaled_uniform,
              lambda x: torch.nn.init.uniform_(
                  torch.empty(x), a=-1, b=1
              )
              / math.sqrt(math.prod(x)),
              lambda x: np.random.uniform(-1, 1, size=x)
              / math.sqrt(math.prod(x)),
          )
      )
  
imports: import math
  import unittest
  import numpy
  import torch
  from tinygrad import nn, dtypes, Tensor
  from functools import partial
label_desc: Use image node_id 6 for calling the TestRandomness obj's underlying member method code with example usage: obj.test_scaled_uniform() without return types