code: def test_init(shape):
      df = torch.empty(shape).uniform_(1.8, 5).requires_grad_()
      loc = torch.empty(shape).uniform_(-1.0, 1.0).requires_grad_()
      scale = torch.empty(shape).uniform_(0.5, 1.0).requires_grad_()
  
      def model():
          with pyro.plate_stack("plates", shape):
              return pyro.sample("x", dist.StudentT(df, loc, scale))
  
      check_init_reparam(model, StudentTReparam())
  
file_path: pyro/tests/infer/reparam/test_studentt.py
imports: import pytest
  import torch
  from scipy.stats import ks_2samp
  from torch.autograd import grad
  import pyro
  import pyro.distributions
  from pyro import poutine
  from pyro.infer.reparam import StudentTReparam
  from tests.common import assert_close
  from .util import check_init_reparam
label_desc: Use image node_id 4 for calling a global function with example usage: test_init(shape) and returns: pyro