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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 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)