code: def _(d, data):
      base_data = data.transpose(-1, -2).unsqueeze(-1)
      base_dist = prefix_condition(d.base_dist, base_data)
      return dist.IndependentHMM(base_dist)
  
imports: import numbers
  from functools import singledispatch
  import torch
  from torch.distributions import transform_to, transforms
  import pyro.distributions
  from pyro.infer.reparam import DiscreteCosineReparam, HaarReparam
  from pyro.poutine.messenger import Messenger
  from pyro.poutine.util import site_is_subsample
  from pyro.primitives import get_param_store
label_desc: Use image node_id 6 for calling a global function with example usage: _(d, data) and returns: dist