code: def from_cmdstan(
      posterior=None,
      *,
      posterior_predictive=None,
      prior=None,
      prior_predictive=None,
      observed_data=None,
      observed_data_var=None,
      log_likelihood=None,
      coords=None,
      dims=None
  ):
      
      return CmdStanConverter(
          posterior=posterior,
          posterior_predictive=posterior_predictive,
          prior=prior,
          prior_predictive=prior_predictive,
          observed_data=observed_data,
          observed_data_var=observed_data_var,
          log_likelihood=log_likelihood,
          coords=coords,
          dims=dims,
      ).to_inference_data()
docs: Convert CmdStan data into an InferenceData object.
  
      Parameters
      ----------
      posterior : List[str]
          List of paths to output.csv files.
          CSV file can be stacked csv containing all the chains
  
              cat output*.csv > combined_output.csv
  
      posterior_predictive : str, List[Str]
          Posterior predictive samples for the fit. If endswith ".csv" assumes file.
      prior : List[str]
          List of paths to output.csv files
          CSV file can be stacked csv containing all the chains.
  
              cat output*.csv > combined_output.csv
  
      prior_predictive : str, List[Str]
          Prior predictive samples for the fit. If endswith ".csv" assumes file.
      observed_data : str
          Observed data used in the sampling. Path to data file in Rdump format.
      observed_data_var : str, List[str]
          Variable(s) used for slicing observed_data. If not defined, all
          data variables are imported.
      log_likelihood : str
          Pointwise log_likelihood for the data.
      coords : dict[str, iterable]
          A dictionary containing the values that are used as index. The key
          is the name of the dimension, the values are the index values.
      dims : dict[str, List(str)]
          A mapping from variables to a list of coordinate names for the variable.
  
      Returns
      -------
      InferenceData object