human
I wrote the below code

    def add_black_patch_to_image(image):
        'Function    for    adding    one    patch    to    the    image.\n\n                Args:\n                        image:    image\n\n                Returns:\n                        image    with    a    randomly    added    black    box\n                '
        image_shape = tf.shape(image)
        image_height = image_shape[0]
        image_width = image_shape[1]
        box_size = tf.to_int32(tf.multiply(tf.minimum(tf.to_float(image_height), tf.to_float(image_width)), size_to_image_ratio))
        normalized_y_min = tf.random_uniform([], minval=0.0, maxval=(1.0 - size_to_image_ratio), seed=random_seed)
        normalized_x_min = tf.random_uniform([], minval=0.0, maxval=(1.0 - size_to_image_ratio), seed=random_seed)
        y_min = tf.to_int32((normalized_y_min * tf.to_float(image_height)))
        x_min = tf.to_int32((normalized_x_min * tf.to_float(image_width)))
        black_box = tf.ones([box_size, box_size, 3], dtype=tf.float32)
        mask = (1.0 - tf.image.pad_to_bounding_box(black_box, y_min, x_min, image_height, image_width))
        image = tf.multiply(image, mask)
        return image
    with tf.name_scope('RandomBlackPatchInImage', values=[image]):
        for _ in range(max_black_patches):
            random_prob = tf.random_uniform([], minval=0.0, maxval=1.0, dtype=tf.float32, seed=random_seed)
            image = tf.cond(tf.greater(random_prob, probability), (lambda : image), (lambda : add_black_patch_to_image(image)))
        return image

What's a good function header?

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

def random_black_patches(image, max_black_patches=10, probability=0.5, size_to_image_ratio=0.1, random_seed=None):