code: def test_lev_bbvi_mini_batch_elbo():
      model = pf.EGARCHM(data=data, p=1, q=1)
      model.add_leverage()
      x = model.fit(
          "BBVI",
          iterations=300,
          map_start=False,
          mini_batch=32,
          record_elbo=True,
      )
      assert x.elbo_records[-1] > x.elbo_records[0]
  
imports: import numpy
  import pyflux
  import pandas
  from pandas.io.data import DataReader
  from datetime import datetime
label_desc: Use image node_id 29 for calling a global function with example usage: test_lev_bbvi_mini_batch_elbo() without return types