human
Write me a the Python program you requested given the following:
Complete the below
def load_wmt_en_fr_dataset(path='data/wmt_en_fr/'):

    ''''It will download English-to-French translation data from the WMT\'15
    Website (10^9-French-English corpus), and the 2013 news test from
    the same site as development set.
    Returns the directories of training data and test data.
    Parameters
    path : string
    The path that the data is downloaded to, defaults is ``data/wmt_en_fr/``.
    References
    - Code modified from /tensorflow/models/rnn/translation/data_utils.py
    Notes
    Usually, it will take a long time to download this dataset.'
    '''
assistant
#Here is the Python program you requested.
    _WMT_ENFR_TRAIN_URL = 'http://www.statmt.org/wmt10/'
    _WMT_ENFR_DEV_URL = 'http://www.statmt.org/wmt15/'
    def gunzip_file(gz_path, new_path):
        'Unzips    from    gz_path    into    new_path.'
        print ('Unpacking    %s    to    %s' % (gz_path, new_path))
        with gzip.open(gz_path, 'rb') as gz_file:
            with open(new_path, 'wb') as new_file:
                for line in gz_file:
                    new_file.write(line)
    def get_wmt_enfr_train_set(path):
        "Download    the    WMT    en-fr    training    corpus    to    directory    unless    it's    there."
        filename = 'training-giga-fren.tar'
        maybe_download_and_extract(filename, path, _WMT_ENFR_TRAIN_URL, extract=True)
        train_path = os.path.join(path, 'giga-fren.release2.fixed')
        gunzip_file((train_path + '.fr.gz'), (train_path + '.fr'))
        gunzip_file((train_path + '.en.gz'), (train_path + '.en'))
        return train_path
    def get_wmt_enfr_dev_set(path):
        "Download    the    WMT    en-fr    training    corpus    to    directory    unless    it's    there."
        filename = 'dev-v2.tgz'
        dev_file = maybe_download_and_extract(filename, path, _WMT_ENFR_DEV_URL, extract=False)
        dev_name = 'newstest2013'
        dev_path = os.path.join(path, 'newstest2013')
        if (not (gfile.Exists((dev_path + '.fr')) and gfile.Exists((dev_path + '.en')))):
            print ('Extracting    tgz    file    %s' % dev_file)
            with tarfile.open(dev_file, 'r:gz') as dev_tar:
                fr_dev_file = dev_tar.getmember((('dev/' + dev_name) + '.fr'))
                en_dev_file = dev_tar.getmember((('dev/' + dev_name) + '.en'))
                fr_dev_file.name = (dev_name + '.fr')
                en_dev_file.name = (dev_name + '.en')
                dev_tar.extract(fr_dev_file, path)
                dev_tar.extract(en_dev_file, path)
        return dev_path
    print 'Load    or    Download    WMT    English-to-French    translation    >    {}'.format(path)
   ...