code: def generate_data(small_test, include_stop, device):
      """Generate mini example dataset."""
      if small_test:
          mult_dat = 1
      else:
          mult_dat = 10
  
      seqs = (
          ["BABBA"] * mult_dat
          + ["BAAB"] * mult_dat
          + ["BABBB"] * mult_dat
      )
      dataset = BiosequenceDataset(
          seqs, "list", "AB", include_stop=include_stop, device=device
      )
  
      return dataset
  
file_path: pyro/examples/contrib/mue/FactorMuE.py
imports: import argparse
  import datetime
  import json
  import os
  import matplotlib.pyplot
  import numpy
  import torch
  from torch.optim import Adam
  import pyro
  from pyro.contrib.mue.dataloaders import BiosequenceDataset
  from pyro.contrib.mue.models import FactorMuE
  from pyro.optim import MultiStepLR
label_desc: Use image node_id 1 for calling a global function with example usage: generate_data(small_test, include_stop, device) and returns: dataset