code: def __init__(
      self,
      parent,
  ):
      self.parent = parent
      self.batch_size = 13
      self.seq_length = 7
      self.is_training = True
      self.use_input_mask = True
      self.use_labels = True
      self.vocab_size = 99
      self.n_positions = 14
      self.hidden_size = 32
      self.num_hidden_layers = 2
      self.num_attention_heads = 4
      self.d_ff = 37
      self.relative_attention_num_buckets = 8
      self.dropout_rate = 0.1
      self.initializer_factor = 0.002
      self.eos_token_id = 1
      self.pad_token_id = 0
      self.scope = None
  
imports: from __future__ import annotations
  import unittest
  from transformers import T5Config, is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, 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 to create a new TFT5ModelTester object  with example: obj = TFT5ModelTester(parent)