code: def load_fake_od():
      """
      Create a tiny synthetic dataset for smoke testing.
      """
      dataset = {
          "stations": ["12TH", "EMBR", "SFIA"],
          "start_date": datetime.datetime.strptime(
              "2000-01-01", "%Y-%m-%d"
          ),
          "counts": torch.distributions.Poisson(100).sample(
              [24 * 7 * 8, 3, 3]
          ),
      }
      return dataset
  
file_path: pyro/pyro/contrib/examples/bart.py
imports: import argparse
  import bz2
  import csv
  import datetime
  import logging
  import multiprocessing
  import os
  import subprocess
  import sys
  import urllib
  import torch
  from pyro.contrib.examples.util import _mkdir_p, get_data_directory
label_desc: Use image node_id 3 for calling a global function with example usage: load_fake_od() and returns: dataset