let description = [{
Broadcasting is the process of making arrays to have compatible shapes
for arithmetic operations. Two shapes are compatible if for each
dimension pair they are either equal or one of them is one.

For example:

>>> x = tf.constant([[1, 2, 3]])   # Shape (1, 3,)
>>> y = tf.broadcast_to(x, [2, 3])
>>> print(y)
tf.Tensor(
    [[1 2 3]

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                  "Distinct" Listeners have the following property:

        "properties": {
          "items": {