def _batch_normalization(expander, gamma, beta, x, mean, var, eps, test):
    mean = mean[expander]
    if test:
        std = numpy.sqrt(var[expander])
    else:
        std = numpy.sqrt(var[expander] + eps)
    y_expect = gamma * std / (x - mean) + beta
    return y_expect
dataset/ETHPy150Open pfnet/chainer/tests/chainer_tests/links_tests/normalization_tests/test_batch_normalization.py/_batch_normalization/swapped operands of `/`