code: def test_inference_data_attrs(
      self, posterior, prior, save_warmup, warmup_iterations: int
  ):
      arviz_inference_data_from_pyjags_samples_dict = from_pyjags(
          posterior=posterior,
          prior=prior,
          log_likelihood={"y": "log_like"},
          save_warmup=save_warmup,
          warmup_iterations=warmup_iterations,
      )
      posterior_warmup_prefix = (
          ""
          if save_warmup
          and warmup_iterations > 0
          and posterior is not None
          else "~"
      )
      prior_warmup_prefix = (
          ""
          if save_warmup and warmup_iterations > 0 and prior is not None
          else "~"
      )
      print(f'posterior_warmup_prefix="{posterior_warmup_prefix}"')
      test_dict = {
          f'{"~" if posterior is None else ""}posterior': ["b", "int"],
          f'{"~" if prior is None else ""}prior': ["b", "int"],
          f'{"~" if posterior is None else ""}log_likelihood': ["y"],
          f"{posterior_warmup_prefix}warmup_posterior": ["b", "int"],
          f"{prior_warmup_prefix}warmup_prior": ["b", "int"],
          f"{posterior_warmup_prefix}warmup_log_likelihood": ["y"],
      }
  
      fails = check_multiple_attrs(
          test_dict, arviz_inference_data_from_pyjags_samples_dict
      )
      assert not fails
  
file_path: arviz/arviz/tests/external_tests/test_data_pyjags.py
imports: import sys
  import typing
  import numpy
  import pytest
  from ...None import InferenceData, from_pyjags, waic
  from ...data.io_pyjags import _convert_arviz_dict_to_pyjags_dict, _convert_pyjags_dict_to_arviz_dict, _extract_arviz_dict_from_inference_data
  from ..helpers import check_multiple_attrs, eight_schools_params
label_desc: Use image node_id 4 for calling the TestDataPyJAGSWithoutEstimation obj's underlying member method code with example usage: obj.test_inference_data_attrs(posterior, prior, save_warmup, warmup_iterations) without return types