code: def _get_config_and_data(self):
      input_ids = np.array(
          [
              [71, 82, 18, 33, 46, 91, 2],
              [68, 34, 26, 58, 30, 82, 2],
              [5, 97, 17, 39, 94, 40, 2],
              [76, 83, 94, 25, 70, 78, 2],
              [87, 59, 41, 35, 48, 66, 2],
              [55, 13, 16, 58, 5, 2, 1],  # note padding
              [64, 27, 31, 51, 12, 75, 2],
              [52, 64, 86, 17, 83, 39, 2],
              [48, 61, 9, 24, 71, 82, 2],
              [26, 1, 60, 48, 22, 13, 2],
              [21, 5, 62, 28, 14, 76, 2],
              [45, 98, 37, 86, 59, 48, 2],
              [70, 70, 50, 9, 28, 0, 2],
          ],
          dtype=np.int64,
      )
  
      batch_size = input_ids.shape[0]
      config = BlenderbotSmallConfig(
          vocab_size=self.vocab_size,
          d_model=24,
          encoder_layers=2,
          decoder_layers=2,
          encoder_attention_heads=2,
          decoder_attention_heads=2,
          encoder_ffn_dim=32,
          decoder_ffn_dim=32,
          max_position_embeddings=48,
          eos_token_id=2,
          pad_token_id=1,
          bos_token_id=0,
      )
      return config, input_ids, batch_size
  
imports: import unittest
  import numpy
  import timeout_decorator
  from transformers import BlenderbotSmallConfig, is_flax_available
  from transformers.testing_utils import require_flax, slow
  from ...generation.test_flax_utils import FlaxGenerationTesterMixin
  from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor
label_desc: Use image node_id 1 for calling the BlenderbotHeadTests obj's underlying member method code with example usage: obj._get_config_and_data() and returns: config,  input_ids,  batch_size