code: def __init__(
      self,
      pyro_dist=None,
      scipy_dist=None,
      examples=None,
      scipy_arg_fn=None,
      prec=0.05,
      min_samples=None,
      is_discrete=False,
      expected_support_non_vec=None,
      expected_support=None,
      test_data_indices=None,
      batch_data_indices=None,
  ):
      self.pyro_dist = pyro_dist
      self.scipy_dist = scipy_dist
      self.dist_params, self.test_data = self._extract_fixture_data(
          examples
      )
      self.scipy_arg_fn = scipy_arg_fn
      self.min_samples = min_samples
      self.prec = prec
      self.is_discrete = is_discrete
      self.expected_support_non_vec = expected_support_non_vec
      self.expected_support = expected_support
      self.test_data_indices = test_data_indices
      self.batch_data_indices = batch_data_indices
  
imports: import math
  import numpy
  import torch
  from torch.distributions.utils import logits_to_probs
  from pyro.distributions.util import broadcast_shape
label_desc: Use image node_id 1 to create a new Fixture object  with example: obj = Fixture(pyro_dist, scipy_dist, examples, scipy_arg_fn, prec, min_samples, is_discrete, expected_support_non_vec, expected_support, test_data_indices, batch_data_indices)