docs: def persist(self: T, **kwargs) -> T:
          """ Trigger computation, keeping data as dask arrays
  
          This operation can be used to trigger computation on underlying dask
          arrays, similar to ``.compute()``.  However this operation keeps the
          data as dask arrays.  This is particularly useful when using the
          dask.distributed scheduler and you want to load a large amount of data
          into distributed memory.
  
          Parameters
          ----------
          **kwargs : dict
              Additional keyword arguments passed on to ``dask.persist``.
  
          See Also
          --------
          dask.persist
          """
          new = self.copy(deep=False)
          return new._persist_inplace(**kwargs)