code: def testEmptyNonZeros(self):
      indices = array_ops.constant([], dtype=dtypes.int32)
      values = array_ops.constant([], dtype=dtypes.float32)
      tf_ans = sparse_ops.sparse_to_dense(indices, [5], values, 0.0)
      np_ans = np.array([0, 0, 0, 0, 0]).astype(np.float32)
      self.assertAllClose(np_ans, tf_ans)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the SparseToDenseTest obj's underlying member method code with example usage: obj.testEmptyNonZeros() without return types