human
What is a the Python code you requested given the following:
Complete the below
def load_cyclegan_dataset(filename='summer2winter_yosemite', path='data/cyclegan'):

    ''''Load image data from CycleGAN\'s database, see `this link <https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/>`_.
    Parameters
    filename : string
    The dataset you want, see `this link <https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/>`_.
    path : string
    The path that the data is downloaded to, defaults is `data/cyclegan`
    Examples
    >>> im_train_A, im_train_B, im_test_A, im_test_B = load_cyclegan_dataset(filename=\'summer2winter_yosemite\')'
    '''
assistant
#Here is the Python code you requested.
    url = 'https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/'
    if (folder_exists(((path + '/') + filename)) is False):
        print '[*]    {}    is    nonexistent    in    {}'.format(filename, path)
        maybe_download_and_extract((filename + '.zip'), path, url, extract=True)
        del_file((((path + '/') + filename) + '.zip'))
    def load_image_from_folder(path):
        path_imgs = load_file_list(path=path, regx='\\.jpg', printable=False)
        return read_images(path_imgs, path=path, n_threads=10, printable=False)
    im_train_A = load_image_from_folder((((path + '/') + filename) + '/trainA'))
    im_train_B = load_image_from_folder((((path + '/') + filename) + '/trainB'))
    im_test_A = load_image_from_folder((((path + '/') + filename) + '/testA'))
    im_test_B = load_image_from_folder((((path + '/') + filename) + '/testB'))
    return (im_train_A, im_train_B, im_test_A, im_test_B)