The boundary operator run over only what has been heard
Drawn above with its standard settings, which is almost never how an essay draws it: an essay states the numbers it is arguing about, so the figure a reader meets there is about that argument rather than about the drawing in general. Every option a placement passes is checked against the ones this function actually reads, because an option it does not read is silently ignored and the figure quietly draws what is above instead.
It makes a noise. 16 of its 16 placements carry sound, built from the same numbers as the drawing, offering these buttons: Bars 1 to 4, where it settles, Bars 13 to 16, where it settles, Bars 21 to 24, where it settles, Bars 26 to 29, where it settles, Bars 29 to 32, where it settles, Bars 29 to 32, where the repeat departs, The 1 bars after it, which decide it, The 3 bars after it, which decide it and 5 more.
Called by 3 essays
the blast radius of changing it
How long until it comes back
A self-similarity matrix has a second reading that nobody looks for. Add up each diagonal instead of walking along one, and out falls repetition as a function of how long ago — a period, in bars, with no segmentation, no kernel width and no bar numbers anywhere in the answer. Five of the six schemes here report the length a listener would have named. The sixth reports something better.
The form a first hearing cannot have
Every figure so far was computed with the whole piece in hand. Run the same methods over only the bars already heard and one of the two methods survives intact — the boundary operator turns out to be causal at a fixed delay of a few bars — while the other collapses. The period of a piece is not knowable until the piece is nearly over, and in two of the six schemes here not until its last bar.
An ending that can be heard coming
Two measurements are both called hearing an ending coming and they point in opposite directions. By the halfway mark of an ordinary form almost nothing new arrives — and the cost of coding each bar has not fallen at all. Neither statistic says anything is about to stop, because no statistic over content can: predicting the next event well is not predicting that there will not be one.