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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:

def init_bn_weight(layer):
    '''initilize batch norm layer weight.
    '''
    n_filters = layer.num_features
    new_weights = [
        add_noise(np.ones(n_filters, dtype=np.float32), np.array([0, 1])),
        add_noise(np.zeros(n_filters, dtype=np.float32), np.array([0, 1])),
        add_noise(np.zeros(n_filters, dtype=np.float32), np.array([0, 1])),
        add_noise(np.ones(n_filters, dtype=np.float32), np.array([0, 1])),
    ]
    layer.set_weights(new_weights)