code: def test_rand(self):
      t = Tensor.rand(3, 2, 0)
      assert t.shape == (3, 2, 0)
      np.testing.assert_equal(t.numpy(), np.zeros((3, 2, 0)))
      t = Tensor.rand(0)
      assert t.shape == (0,)
      np.testing.assert_equal(t.numpy(), np.zeros((0,)))
      t = Tensor.rand(0, 0, 0)
      assert t.shape == (0, 0, 0)
      np.testing.assert_equal(t.numpy(), np.zeros((0, 0, 0)))
  
imports: import numpy
  import torch
  import unittest, copy
  import mmap
  from tinygrad import Tensor, Device, dtypes
  from tinygrad.helpers import temp
  from extra.gradcheck import numerical_jacobian, jacobian, gradcheck
label_desc: Use image node_id 2 for calling the TestZeroShapeTensor obj's underlying member method code with example usage: obj.test_rand() without return types