human
Write me a the Python program you requested given the following:
Complete the below
def _load(filepath, recurse_depth=0, retry=True):

    ''''Recursively tries to load a file until success or maximum number of
    attempts.
    Parameters
    filepath : str
    A path to a file to load. Should be a pickle, Matlab, or NumPy
    file.
or a .txt or .amat file that numpy.loadtxt can load.
    recurse_depth : int, optional
    End users should not use this argument. It is used by the function
    itself to implement the `retry` option recursively.
    retry : bool, optional
    If True, will make a handful of attempts to load the file before
    giving up. This can be useful if you are for example calling
    show_weights.py on a file that is actively being written to by a
    training script--sometimes the load attempt might fail if the
    training script writes at the same time show_weights tries to
    read, but if you try again after a few seconds you should be able
    to open the file.
    Returns
    loaded_object : object
    The object that was stored in the file.'
    '''
assistant
#Here is the Python program you requested.
    try:
        import joblib
        joblib_available = True
    except ImportError:
        joblib_available = False
    if (recurse_depth == 0):
        filepath = preprocess(filepath)
    if (filepath.endswith('.npy') or filepath.endswith('.npz')):
        return np.load(filepath)
    if (filepath.endswith('.amat') or filepath.endswith('txt')):
        try:
            return np.loadtxt(filepath)
        except Exception:
            reraise_as('{0}    cannot    be    loaded    by    serial.load    (trying    to    use    np.loadtxt)'.format(filepath))
    if filepath.endswith('.mat'):
        global io
        if (io is None):
            import scipy.io
            io = scipy.io
        try:
            return io.loadmat(filepath)
        except NotImplementedError as nei:
            if (str(nei).find('HDF    reader') != (-1)):
                global hdf_reader
                if (hdf_reader is None):
                    import h5py
                    hdf_reader = h5py
                return hdf_reader.File(filepath, 'r')
            else:
                raise
        assert False
    encoding = ({'encoding': 'latin-1'} if six.PY3 else {})
    def exponential_backoff():
        if (recurse_depth > 9):
            logger.info('Max    number    of    tries    exceeded    while    trying    to    open    {0}'.format(filepath))
            logger.info('attempting    to    open    via    reading    string')
            with open(filepath, 'rb') as f:
                content = f.read()
            return cPickle.loads(content, **encoding)
        else:
            nsec = (0.5 * (2.0 ** float(recurse_depth)))
            logger.info('Waiting    {0}    seconds    and    trying    again'.format(nsec))
            time.sleep(nsec)
            return _load(filepath, (recurse_depth + 1), retry)
    try:
        if (not joblib_available):
            with open(filepath, 'rb') as f:
                obj = cPickle.load(f, **encoding)
        else:
            try:
                obj = joblib.load(filepath)
       ...