def convert_to_ssl(x, y, n_labels, n_classes, complement=False):
    if (y.shape[(- 1)] == n_classes):
        y_sparse = y.argmax(1)
    else:
        y_sparse = y
    (x_label, y_label) = ([], [])
    if complement:
        (x_comp, y_comp) = ([], [])
    for i in xrange(n_classes):
        idx = (y_sparse == i)
        (x_cand, y_cand) = (x[idx], y[idx])
        idx = np.random.choice(len(x_cand), (n_labels / n_classes), replace=False)
        (x_select, y_select) = (x_cand[idx], y_cand[idx])
        x_label += [x_select]
        y_label += [y_select]
        if complement:
            (x_select, y_select) = (np.delete(x_cand, idx, 0), np.delete(y_cand, idx, 0))
            x_comp += [x_select]
            y_comp += [y_select]
    x_label = np.concatenate(x_label, axis=0)
    y_label = np.concatenate(y_label, axis=0)
    if complement:
        x_comp = np.concatenate(x_comp, axis=0)
        y_comp = np.concatenate(y_comp, axis=0)
        return (x_label, y_label, x_comp, y_comp)
    else:
        return (x_label, y_label, x, y)
def convert_to_ssl(x, y, n_labels, n_classes, complement=False):
    if (y.shape[(- 1)] == n_classes):
        y_sparse = y.argmax(1)
    else:
        y_sparse = y
    (x_label, y_label) = ([], [])
    if complement:
        (x_comp, y_comp) = ([], [])
    for i in xrange(n_classes):
        idx = (y_sparse == i)
        (x_cand, y_cand) = (x[idx], y[idx])
        idx = np.random.choice(len(x_cand), (n_labels / n_classes), replace=False)
        (x_select, y_select) = (x_cand[idx], y_cand[idx])
        x_label += [x_select]
        y_label += [y_select]
        if complement:
            (x_select, y_select) = (np.delete(x_cand, idx, 0), np.delete(y_cand, idx, 0))
            x_comp += [x_select]
            y_comp += [y_select]
    x_label = np.concatenate(x_label, axis=0)
    y_label = np.concatenate(y_label, axis=0)
    if complement:
        x_comp = np.concatenate(x_comp, axis=0)
        y_comp = np.concatenate(y_comp, axis=0)
        return (x_label, y_label, x_comp, y_comp)
    else:
        return (x_label, y_label, x, y)