code: def test_step_types_batch_mismatch_batch(batch_data):
      with pytest.raises(
          ValueError, match="step_types has batch size 0"
      ):
          batch_data["step_types"] = np.array([])
          s = TimeStepBatch(**batch_data)
          del s
  
imports: import akro
  import gym.spaces
  import numpy
  import pytest
  from garage import EnvSpec, EnvStep, EpisodeBatch, StepType, TimeStep, TimeStepBatch
label_desc: Use image node_id 44 for calling a global function with example usage: test_step_types_batch_mismatch_batch(batch_data) without return types