code: def _make_sparse_tensor(indices, values, dense_shape, dtype=np.int32):
      return sparse_tensor.SparseTensorValue(
          np.array(indices, np.int64),
          np.array(values, dtype),
          np.array(dense_shape, np.int64),
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  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 gen_string_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_string_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling a global function with example usage: _make_sparse_tensor(indices, values, dense_shape, dtype) and returns: sparse_tensor