code: def test_mul_masked(self):
      a = Tensor([1, 1, 1, 1, 1])
      b = Tensor([1, 1]).pad(((0, 3),))
      c = a * b
      assert c.shape == a.shape
      # assert c.lazydata.st.views[0].mask is not None
      ret = c.data()
      assert ret.tolist() == [1.0, 1.0, 0.0, 0.0, 0.0]
  
imports: import unittest
  from tinygrad.tensor import Tensor
label_desc: Use image node_id 1 for calling the TestMaskedShapeTracker obj's underlying member method code with example usage: obj.test_mul_masked() without return types