code: def create_and_check_model(
      self,
      config,
      input_ids,
      attention_mask,
  ):
      model = FlaxT5EncoderModel(config=config)
      result = model(
          input_ids=input_ids,
          attention_mask=attention_mask,
      )
      result = model(input_ids=input_ids)
      encoder_output = result.last_hidden_state
  
      self.parent.assertEqual(
          encoder_output.shape,
          (self.batch_size, self.encoder_seq_length, self.hidden_size),
      )
  
imports: import tempfile
  import unittest
  import numpy
  import transformers
  from transformers import is_flax_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax, require_sentencepiece, require_tokenizers, slow
  from ...generation.test_flax_utils import FlaxGenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor
label_desc: Use image node_id 3 for calling the FlaxT5EncoderOnlyModelTester obj's underlying member method code with example usage: obj.create_and_check_model(config, input_ids, attention_mask) without return types