We were using += instead of =, meaning the budget always grew,
rather than growing while there was still space. As a result, computers
were never correctly rate limited.
Further more, if a computer went into a deficit, we would continue to
increase the budget by a negative amount, exponentially decreasing until
overflowing!
Yes, this is a very embarrassing mistake. I'd been aware that rate
limiting wasn't working as expected for a while, I hadn't realised
the problem would be this stupid.
OK, so let's get this out of the way, there's some actual changes mixed
in here too. I'm really sorry:
- Turtles can now not be renamed with unnamed item tags (previously it
would clear the name, this seemed a little unideal).
- commands.getBlock(s)Data will also include NBT.
Now, onto the horror story which is these inspection changes:
- Make a lot of methods static
- Typo fixes
- Make utility classes final + private constructor
- Lots of reformatting (ifs -> ternary, invert control flow, etc...)
- ???
- Profit!
I'm so going to regret this - can pretty much guarantee this is going to
break something.
This uses a similar approach to ComputerThread: executors store how long
they've spent executing tasks. We then use that time to prioritise
executors.
One should note that we use the current runtime at the point of adding
to the queue - external tasks will not contribute towards it until a
later execution.
Unlike ComputerThread, we do not have a single source of tasks, and so
need a smarter way to handle scheduling and rate limiting. This
introduces a cooldown system, which works on both a global and
per-computer level:
Each computer is allowed to do some work for 5ms. If they go over that
budget, then they are marked as "hot", and will not execute work on the
next tick, until they have cooled down. This ensures that _on average_
computers perform at most 5ms of work per tick.
Obviously this is a rather large time span, so we also apply a global
10ms to all computers. This uses the same cooldown principle, meaning we
keep to an average of 10ms, even if we go over budget.
This allows us to track how much work various peripherals are doing.
This will not work with all systems, such as Plethora, as that has its
own execution system.
