human
I wrote the below code

    def _flip_image(image):
        image_flipped = tf.image.flip_left_right(image)
        return image_flipped
    if ((keypoints is not None) and (keypoint_flip_permutation is None)):
        raise ValueError('keypoints    are    provided    but    keypoints_flip_permutation    is    not    provided')
    with tf.name_scope('RandomHorizontalFlip', values=[image, boxes]):
        result = []
        do_a_flip_random = tf.random_uniform([], seed=seed)
        do_a_flip_random = tf.logical_and(tf.greater(tf.size(boxes), 0), tf.greater(do_a_flip_random, 0.5))
        image = tf.cond(do_a_flip_random, (lambda : _flip_image(image)), (lambda : image))
        result.append(image)
        if (boxes is not None):
            boxes = tf.cond(do_a_flip_random, (lambda : flip_boxes(boxes)), (lambda : boxes))
            result.append(boxes)
        if (masks is not None):
            masks = tf.cond(do_a_flip_random, (lambda : _flip_masks(masks)), (lambda : masks))
            result.append(masks)
        if ((keypoints is not None) and (keypoint_flip_permutation is not None)):
            permutation = keypoint_flip_permutation
            keypoints = tf.cond(do_a_flip_random, (lambda : keypoint_ops.flip_horizontal(keypoints, 0.5, permutation)), (lambda : keypoints))
            result.append(keypoints)
        return tuple(result)

What's a good function header?

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Here's a good function header?
assistant
#Here's a good function header.

def random_horizontal_flip(image, boxes=None, masks=None, keypoints=None, keypoint_flip_permutation=None, seed=None):