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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 _read_dict(self, f):
 """ Converts h5 groups to dictionaries """

        d = {}
        for k, item in f.items():
            if type(item) == h5py._hl.dataset.Dataset:
                v = item.value
                if type(v) == np.string_:
                    v = str(v)
                if type(v) == str and v == "NONE":
                    d[k] = None
                elif type(v) == str and v == "EMPTYARR":
                    d[k] = np.array([])
                elif isinstance(v, bytes):
                    d[k] = v.decode('utf-8')
                else:
                    d[k] = v

            elif k[:5] == "DICT_":
                d[k[5:]] = self._read_dict(item)
            elif k[:5] == "LIST_":
                tmpD = self._read_dict(item)
                d[k[5:]] = [tmpD[str(i)] for i in range(len(tmpD))]
        return d