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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 write(self, frames):
 """ Write the frames to the target HDF5 file, using the format used by ``pd.Panel.to_hdf`` Parameters frames : iter[(int, DataFrame)] or dict[int -> DataFrame] An iterable or other mapping of sid to the corresponding OHLCV pricing data. """

        with HDFStore(self._path, 'w',
                      complevel=self._complevel, complib=self._complib) \
                as store:
            panel = pd.Panel.from_dict(dict(frames))
            panel.to_hdf(store, 'updates')
        with tables.open_file(self._path, mode='r+') as h5file:
            h5file.set_node_attr('/', 'version', 0)