code: def test_neg_shape(self):
      indices = [[0, 2]]
      values = [1]
      dense_shape = [-1, 5]
      sp = sparse_tensor.SparseTensor(indices, values, dense_shape)
      self.assertEqual(sp.shape.as_list(), [None, 5])
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.core.framework import full_type_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.type_utils import fulltypes_for_flat_tensors
  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 googletest
label_desc: Use image node_id 4 for calling the SparseTensorShapeTest obj's underlying member method code with example usage: obj.test_neg_shape() without return types