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Commit Graph

6 Commits

Author SHA1 Message Date
SquidDev
55a7ee4acf Initial update to Fabric 2019-04-03 23:27:10 +01:00
SquidDev
2965fb666f Some further cleanup and 1.13 cherry-picks
Are most of these changes small and petty? Yes. However, IMO they do
make the code more readable. Anyway, a summary of some of the more
interesting changes:

 - Expose Abstract*Upgrade classes in the API
 - Fix the spelling of Jonathan in the API docs (*shakes fist*)
 - Fix bug with printout not working in the offhand.
 - Rename any argments/variables accidentally named "m_*", and add an
   inspection to prevent it happening again.
 - Remove most of the Block*.Properties classes - just inline them in
   the parent class.
 - Return super.writeToNBT instead of reassigning at the top.
2019-04-02 12:08:03 +01:00
SquidDev
7799b8d4cb Convert MainThread into a priority queue
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.
2019-03-26 11:21:40 +00:00
SquidDev
245bf26480 Expose max computer/global times as config options
These do have a direct impact on server performance, so are definitely
worthwhile exposing.
2019-03-26 11:21:40 +00:00
SquidDev
5d05205d69 Introduce IWorkMonitor into the public API
This effectively acts as a public interface to canExecuteExternal() and
consumeTime(). It's hopefully sufficiently general that we can mess
around with the backend as much as we like in the future.

One thing to note here is that this is based on a polling API, as it's
largely intended for people running work every tick. It would be
possible to adapt this with callbacks for when work is available,
etc..., but that was not needed immediately.

This also removes IComputerOwned, as Plethora no longer needs it.
2019-03-26 11:21:16 +00:00
SquidDev
853e2622a1 An initial prototype of main thread rate limiting
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.
2019-03-26 11:21:16 +00:00