<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def read_object_array(f, data, options):
 """ Reads an array of objects recursively. Read the elements of the given HDF5 Reference array recursively in the and constructs a ``numpy.object_`` array from its elements, which is returned. Parameters f : h5py.File The HDF5 file handle that is open. data : numpy.ndarray of h5py.Reference The array of HDF5 References to read and make an object array from. options : hdf5storage.core.Options hdf5storage options object. Raises ------ NotImplementedError If reading the object from file is currently not supported. Returns ------- obj_array : numpy.ndarray of numpy.object\_ The Python object array containing the items pointed to by `data`. See Also -------- write_object_array hdf5storage.Options.group_for_references h5py.Reference """

    # Go through all the elements of data and read them using their
    # references, and the putting the output in new object array.
    data_derefed = np.zeros(shape=data.shape, dtype='object')
    for index, x in np.ndenumerate(data):
        data_derefed[index] = read_data(f, None, None,
                                        options,
                                        dsetgrp=f[x])
    return data_derefed