code: def prepare_config_and_inputs(self):
      input_ids = ids_tensor(
          [self.batch_size, self.encoder_seq_length], self.vocab_size
      )
      decoder_input_ids = ids_tensor(
          [self.batch_size, self.decoder_seq_length], self.vocab_size
      )
  
      attention_mask = None
      decoder_attention_mask = None
      if self.use_attention_mask:
          attention_mask = ids_tensor(
              [self.batch_size, self.encoder_seq_length], vocab_size=2
          )
          decoder_attention_mask = ids_tensor(
              [self.batch_size, self.decoder_seq_length], vocab_size=2
          )
  
      config = LongT5Config(
          vocab_size=self.vocab_size,
          d_model=self.hidden_size,
          d_ff=self.d_ff,
          d_kv=self.hidden_size // self.num_attention_heads,
          num_layers=self.num_hidden_layers,
          num_decoder_layers=self.decoder_layers,
          num_heads=self.num_attention_heads,
          relative_attention_num_buckets=self.relative_attention_num_buckets,
          dropout_rate=self.dropout_rate,
          initializer_factor=self.initializer_factor,
          eos_token_id=self.eos_token_id,
          bos_token_id=self.pad_token_id,
          pad_token_id=self.pad_token_id,
          decoder_start_token_id=self.decoder_start_token_id,
          local_radius=self.local_radius,
          encoder_attention_type=self.encoder_attention_type,
          global_block_size=self.global_block_size,
      )
  
      return (
          config,
          input_ids,
          decoder_input_ids,
          attention_mask,
          decoder_attention_mask,
      )
  
imports: import tempfile
  import unittest
  import numpy
  import transformers
  from transformers import is_flax_available
  from transformers.models.auto import get_values
  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 2 for calling the FlaxLongT5ModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  input_ids,  decoder_input_ids,  attention_mask,  decoder_attention_mask