code: def test_reduce_over_non_zero(self):
      a = Tensor.ones(3, 2, 0).sum(axis=1)
      assert a.shape == (3, 0)
      np.testing.assert_equal(
          a.numpy(), np.sum(np.zeros((3, 2, 0)), axis=1)
      )
  
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 10 for calling the TestZeroShapeTensor obj's underlying member method code with example usage: obj.test_reduce_over_non_zero() without return types