docstr: Prepares two tables, both with three distinct rows.
  The first table has two columns:
  1.0, 2.0 | 3.0
  2.0, 0.0 | 1.0
  1.0, 3.0 | 4.0
  The second table has three columns:
  1.0 | 2.0 | 3.0
  2.0 | 0.0 | 1.0
  1.0 | 3.0 | 4.0
  Returns:
  SegmentedTensors with the tables.
code: def _prepare_tables(self):
      """Prepares two tables, both with three distinct rows.
      The first table has two columns:
      1.0, 2.0 | 3.0
      2.0, 0.0 | 1.0
      1.0, 3.0 | 4.0
      The second table has three columns:
      1.0 | 2.0 | 3.0
      2.0 | 0.0 | 1.0
      1.0 | 3.0 | 4.0
      Returns:
      SegmentedTensors with the tables.
      """
      values = tf.constant(
          [
              [[1.0, 2.0, 3.0], [2.0, 0.0, 1.0], [1.0, 3.0, 4.0]],
              [[1.0, 2.0, 3.0], [2.0, 0.0, 1.0], [1.0, 3.0, 4.0]],
          ]
      )
      row_index = IndexMap(
          indices=[
              [[0, 0, 0], [1, 1, 1], [2, 2, 2]],
              [[0, 0, 0], [1, 1, 1], [2, 2, 2]],
          ],
          num_segments=3,
          batch_dims=1,
      )
      col_index = IndexMap(
          indices=[
              [[0, 0, 1], [0, 0, 1], [0, 0, 1]],
              [[0, 1, 2], [0, 1, 2], [0, 1, 2]],
          ],
          num_segments=3,
          batch_dims=1,
      )
      return values, row_index, col_index
  
imports: from __future__ import annotations
  import copy
  import unittest
  import numpy
  import pandas
  from transformers import TF_MODEL_FOR_CAUSAL_LM_MAPPING, TF_MODEL_FOR_MASKED_LM_MAPPING, TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING, TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING, TF_MODEL_FOR_PRETRAINING_MAPPING, TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING, TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING, TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING, TapasConfig, TapasTokenizer, is_tf_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_tensorflow_probability, require_tf, slow
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the TFTapasUtilsTest obj's underlying member method code with example usage: obj._prepare_tables() and returns: values,  row_index,  col_index