def METHOD_NAME(loss):
    """Find minimum loss from loss arrays obtained from dijet events.
    Parameters
    ----------
    loss : :class:`numpy.ndarray`
        Loss array of shape (num_of_samples*2, ), where num_of_samples = train_size or test_size.
    Returns
    -------
    :class:`numpy.ndarray`
        Final loss array of shape (num_of_samples, ).
    """
    loss_j1, loss_j2 = np.split(loss, 2)
    return np.minimum(loss_j1, loss_j2)