code: def test_convert_dense(self):
      value = [42, 43]
      from_value = sparse_tensor.convert_to_tensor_or_sparse_tensor(
          value
      )
      self.assertAllEqual(value, self.evaluate(from_value))
  
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 1 for calling the ConvertToTensorOrSparseTensorTest obj's underlying member method code with example usage: obj.test_convert_dense() without return types