code: def _SparseTensorValue_3x4(self, permutation):
      ind = np.array(
          [[0, 0], [1, 0], [1, 2], [1, 3], [2, 2], [2, 3]]
      ).astype(np.int64)
      val = np.array([0, 10, 13, 14, 32, 33]).astype(np.int32)
  
      ind = ind[permutation]
      val = val[permutation]
  
      shape = np.array([3, 4]).astype(np.int64)
      return sparse_tensor_lib.SparseTensorValue(ind, val, shape)
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the SparseTensorsMapTest obj's underlying member method code with example usage: obj._SparseTensorValue_3x4(permutation) and returns: sparse_tensor_lib