code: def test_normal(self):
      self.assertTrue(normal_test(Tensor.normal))
      self.assertTrue(
          equal_distribution(
              Tensor.normal,
              lambda x: torch.nn.init.normal_(
                  torch.empty(x), mean=0, std=1
              ),
              lambda x: np.random.normal(loc=0, scale=1, size=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 4 for calling the TestRandomness obj's underlying member method code with example usage: obj.test_normal() without return types