code: def test_batch_generated_text(self):
      input_sentences = [
          "Hello what is",
          "Running a quick test with the",
      ]
      inputs = self.tokenizer(
          input_sentences,
          return_tensors="np",
          padding=True,
          truncation=True,
      )
      generated_ids = self.model.generate(
          **inputs, max_length=20
      ).sequences
      generated_text = self.tokenizer.batch_decode(
          generated_ids, skip_special_tokens=True
      )
  
      # these generations match those of the PyTorch model, ensuring correctness
      EXPECTED_GENERATIONS = [
          "Hello what is the best way to get the data from the server? I have tried",
          "Running a quick test with the following command:\nsudo apt-get install python3\nsudo apt-get install python2",
      ]
  
      self.assertListEqual(generated_text, EXPECTED_GENERATIONS)
  
imports: import unittest
  import numpy
  from transformers import BloomConfig, BloomTokenizerFast, 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 4 for calling the FlaxBloomGenerationTest obj's underlying member method code with example usage: obj.test_batch_generated_text() without return types