docstr: Test padding using string values but without one padding value.
docstr_tok: ["Test","padding","using","string","values","but","without","one","padding","value","."]
code: def test_string_partial_no_padding(self):
      """Test padding using string values but without one padding value."""
      data = constant_op.constant([["1", "1", "1"], ["2", "2", "2"]])
      axis = 1
      left_pad_value = ["0", "0"]
      expected_result = constant_op.constant(
          [["0", "0", "1", "1", "1"], ["0", "0", "2", "2", "2"]]
      )
  
      padded_result = pad_along_dimension_op.pad_along_dimension(
          data=data, axis=axis, left_pad=left_pad_value
      )
  
      self.assertAllEqual(expected_result, padded_result)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
  from tensorflow_text.python.ops import pad_along_dimension_op
label_desc: Use image node_id 8 for calling the PadAlongDimensionOpTest obj's underlying member method code with example usage: obj.test_string_partial_no_padding() without return types