human
Solve the following python programming problem given the following code:
def _install(self) : 
    checkpoint_file = os.path.join (self.data_dir, '__install_check') 
    with checkpoint (checkpoint_file) as exists : 
        if exists : 
            return 
log.info ('Downloading %s', _URL) 
        filepath = download (_URL, self.data_dir) 
        if (_SHA1 != checksum (filepath, method = 'sha1')) : 
            raise RuntimeError (('Checksum mismatch for %s.' % _URL)) 
log.info ('Unpacking %s', filepath) 
        archive_extract (filepath, self.data_dir) 
        unpack_dir = os.path.join (self.data_dir, 'stl10_binary') 
        log.info ('Converting data to Numpy arrays') 
        filenames = ['train_X.bin', 'train_y.bin', 'test_X.bin', 'test_y.bin', 'unlabeled_X.bin'] 
        def bin2numpy(filepath) : 
            with open (filepath, 'rb') as f : 
                arr = np.fromfile (f, dtype = np.uint8) 
                if ('_X' in filepath) : 
                    arr = np.reshape (arr, (((- 1),) + self.img_shape)) 
return arr 
filepaths = [os.path.join (s, f) for f in filenames] 
        (x_train, y_train, x_test, y_test, x_unlabeled) = map (bin2numpy, filepaths) 
        folds = [] 
        with open (os.path.join (unpack_dir, 'fold_indices.txt'), 'r') as f : 
            for line in f : 
                folds.append ([int (s) for s in line.strip ().split (' ')]) 
folds = np.array (folds) 
        with open (self._npz_path, 'wb') as f : 
            np.savez (f, x_train = x_train, y_train = y_train, x_test = x_test, y_test = y_test, x_unlabeled = x_unlabeled, folds = folds) 

    
    

    Fix the buggy line: filepaths = [os.path.join (s, f) for f in filenames]
assistant
#Here is Python program to fix the buggy line: filepaths = [os.

filepaths = [os.path.join (unpack_dir, f) for f in filenames]