code: def test_model_batched_padding_left(self):
      # tests if the model outputs the same generation for an input that is part of a batch
      # and a single input
      input_sentences_batch = [
          "Hello there is this string is definitely longer I believe that",
          "Hi I want to order",
      ]
      inputs = self.tokenizer(
          input_sentences_batch,
          return_tensors="np",
          padding=True,
          truncation=True,
      )
      sequences_fx_batch = self.model.generate(
          **inputs, max_length=20
      ).sequences
  
      input_sentence_simple = "Hi I want to order"
      inputs_simple = self.tokenizer(
          input_sentence_simple, return_tensors="np"
      )
      sequences_fx_simple = self.model.generate(
          **inputs_simple, max_length=20
      ).sequences
  
      self.assertEqual(
          sequences_fx_batch[1][6:].tolist(),
          sequences_fx_simple[0][:-6].tolist(),
      )
  
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 3 for calling the FlaxBloomGenerationTest obj's underlying member method code with example usage: obj.test_model_batched_padding_left() without return types