docs: def hdf5_read_out(self):
          """Read out an hdf5 file.
  
          Takes the output of :class:`gwsnrcalc.genconutils.genprocess.GenProcess`
          and reads it out to an HDF5 file.
  
          """
          with h5py.File(self.WORKING_DIRECTORY + '/' + self.output_file_name, 'w') as f:
  
              header = f.create_group('header')
              header.attrs['Title'] = 'Generated SNR Out'
              header.attrs['Author'] = 'Generator by: Michael Katz'
              header.attrs['Date/Time'] = str(datetime.datetime.now())
  
              for which in ['x', 'y']:
                  header.attrs[which + 'val_name'] = getattr(self, which + 'val_name')
                  header.attrs['num_' + which + '_pts'] = getattr(self, 'num_' + which)
  
              ecc = 'eccentricity' in self.__dict__
              if ecc:
                  name_list = ['observation_time', 'start_frequency', 'start_separation'
                               'eccentricity']
              else:
                  name_list = ['spin_1', 'spin_2', 'spin', 'end_time']
  
              name_list += ['total_mass', 'mass_ratio', 'start_time', 'luminosity_distance',
                            'comoving_distance', 'redshift']
  
              for name in name_list:
                  if name != self.xval_name and name != self.yval_name:
                      try:
                          getattr(self, name)
                          header.attrs[name] = getattr(self, name)
                      except AttributeError:
                          pass
  
              if self.added_note != '':
                  header.attrs['Added note'] = self.added_note
  
              data = f.create_group('data')
  
              # read out x,y values in compressed data set
              dset = data.create_dataset(self.x_col_name, data=self.xvals,
                                         dtype='float64', chunks=True,
                                         compression='gzip', compression_opts=9)
  
              dset = data.create_dataset(self.y_col_name, data=self.yvals,
                                         dtype='float64', chunks=True,
                                         compression='gzip', compression_opts=9)
  
              # read out all datasets
              for key in self.output_dict.keys():
                  dset = data.create_dataset(key, data=self.output_dict[key],
                                             dtype='float64', chunks=True,
                                             compression='gzip', compression_opts=9)