code: def copy_samples(self, other, parameters=None, parameter_names=None,
                       read_args=None, write_args=None):
          
          # select the samples to copy
          logging.info("Reading samples to copy")
          if parameters is None:
              parameters = self.variable_params
          # if list of desired parameters is different, rename
          if set(parameters) != set(self.variable_params):
              other.attrs['variable_params'] = parameters
          samples = self.read_samples(parameters, **read_args)
          logging.info("Copying {} samples".format(samples.size))
          # if different parameter names are desired, get them from the samples
          if parameter_names:
              arrs = {pname: samples[p] for p, pname in parameter_names.items()}
              arrs.update({p: samples[p] for p in parameters if
                           p not in parameter_names})
              samples = FieldArray.from_kwargs(**arrs)
              other.attrs['variable_params'] = samples.fieldnames
          logging.info("Writing samples")
          other.write_samples(other, samples, **write_args)
docs: Should copy samples to the other files.
  
          Parameters
          ----------
          other : InferenceFile
              An open inference file to write to.
          parameters : list of str, optional
              List of parameters to copy. If None, will copy all parameters.
          parameter_names : dict, optional
              Rename one or more parameters to the given name. The dictionary
              should map parameter -> parameter name. If None, will just use the
              original parameter names.
          read_args : dict, optional
              Arguments to pass to ``read_samples``.
          write_args : dict, optional
              Arguments to pass to ``write_samples``.