code: def conditioned_model(model, sigma, y):
      return poutine.condition(model, data={"obs": y})(sigma)
  
file_path: pyro/examples/eight_schools/mcmc.py
imports: import argparse
  import logging
  import data
  import torch
  import pyro
  import pyro.distributions
  import pyro.poutine
  from pyro.infer import MCMC, NUTS
label_desc: Use image node_id 2 for calling a global function with example usage: conditioned_model(model, sigma, y) and returns: poutine