Awesome
Continuation-Passing Style
This project provides a cps
pragma which you can add to a procedure to
automatically rewrite it to use continuations for control-flow. This provides
the benefits of CPS while abstracting away the verbosity of continuations.
The cps
pragma performs only the control-flow rewrite; you implement or
import a dispatcher to define both the type and behavior of your continuations,
so there is virtually no API and no limitations on composition.
A substantial effort to demystify this style of programming, and what it may enable, lives in the docs/ subdirectory.
We also have a tutorial to help new users on their way to get starting with CPS.
For a description of the origins of our approach, see the included papers and https://github.com/nim-lang/RFCs/issues/295, where we write in more depth about why the implementation exists, goals for future development, etc.
What Are These Continuations Good For?
The continuations produced by this macro…
- compose efficient and idiomatic asynchronous code
- are over a thousand times lighter than threads
- are leak-free under Nim's ARC/ORC memory management
- may be based upon your own custom
ref object
type - may be dispatched using your own custom dispatcher
- may be moved between threads to parallelize execution
- are faster and lighter than async/await futures
- are now 2.5x slower than native closure iterators
- exploit no unsafe features of the language (
cast
,ptr
,addr
,emit
)
This is Work In Progress!
The macro itself should be considered beta quality. Corner-cases are being nailed down and the API is being adjusted as demonstration applications are built and rough edges are identified.
Uh, So Should I Use it?
Yes. We need more people building toys and small projects and giving feedback on what works well and what doesn't.
The Continuation
type may be changed into a generic soon. If that doesn't
scare you, then you are as safe to use CPS in larger projects as the quality of
your tests; the API won't break you badly.
CPS has no runtime library requirements
Cool, How Do I Use It?
Architecture
The implementation is comprised of two concepts:
- an environment is a bespoke type made to carry all locals in a procedure,
plus a pointer
fn
to a continuation leg, and amom
pointer to any parent continuation:
type
Continuation* = ref object of RootObj
fn*: proc(c: Continuation): Continuation {.nimcall.}
mom*: Continuation
- a trampoline is a while loop that looks like this:
result = input_continuation
while result != nil and result.fn != nil:
result = result.fn(result)
We call the instantiated environment with its fn
pointer a continuation,
and we call anything that invokes a continuation's fn
pointer a dispatcher.
Application
The cps
macro is applied to procedure definitions, and it takes a single
argument: the type you wish your continuations to inherit from. This
parent type must be a ref object of Continuation
. You can simply use the
Continuation
type itself, if you prefer.
type
Whoosh = ref object of Continuation
We use a procedure definition to define the continuation. The type we want to
base the continuation upon is supplied as the only argument to our cps
pragma
macro.
type
Whoosh = ref object of Continuation
proc zoom() {.cps: Whoosh.} =
## a very fast continuation
discard
Calling the procedure (with arguments, as required) runs the continuation to completion.
type
Whoosh = ref object of Continuation
proc zoom() {.cps: Whoosh.} =
## a very fast continuation
discard
zoom()
echo "that was fast!"
You can extend the Continuation
type to carry state during the execution of
your continuation.
type
Count = ref object of Continuation
labels: Table[string, Continuation.fn]
Here we've introduced a table that maps strings to a continuation "leg", or slice of control-flow that is executed as a unit.
Now we'll introduce two magical procedures for manipulating the table.
proc label(c: Count; name: string): Count {.cpsMagic.} =
c.labels[name] = c.fn
result = c
proc goto(c: Count; name: string): Count {.cpsMagic.} =
c.fn = c.labels[name]
result = c
These pragma'd procedures act as continuation legs and we can use them in our
continuations without supplying the initial Count
argument.
proc count(upto: int): int {.cps: Count.} =
## deploy the Count to make counting fun again;
## this continuation returns the number of trips through the goto
var number = 0
label: "again!"
inc number
echo number, "!"
echo number, " loops, ah ah ah!"
if number < upto:
goto "again!"
echo "whew!"
return number
const many = 1_000_000_000
assert many + 1 == count(many) # (this might take awhile to finish)
Sometimes you don't want to do a lot of counting right away, but, y'know, maybe
a bit later, after your nap. In that case, you can use whelp
to instantiate
your continuation with arguments, without actually running it.
var later = whelp count(1_000_000)
echo "nap time!"
sleep 30*60*1000
When you're ready, the trampoline
will run your continuation to completion
and bounce it back to you.
var later = whelp count(1_000_000)
sleep 30*60*1000
echo "it's later! time to count!"
later = trampoline later
Continuations have a simple state(c: Continuation): State
enum that is helped
into running()
, finished()
, and dismissed()
boolean predicates.
var later = whelp count(1_000_000)
sleep 30*60*1000
echo "it's later! time to count!"
later = trampoline later
assert later.finished, "laws of physics lost their sway"
Continuations can themselves be called in order to retrieve their return value.
var later = whelp count(1_000_000)
sleep 30*60*1000
echo "it's later! time to count!"
later = trampoline later
assert later.finished, "laws of physics lost their sway"
echo "i counted ", later(), " trips through the goto"
In fact, such a call will run the continuation on your behalf, as well.
var later = whelp count(1_000_000)
sleep 30*60*1000
echo "it's later! time to count!"
echo "i counted ", later(), " trips through the goto"
Walkthrough for the coroutine.nim
example
examples/coroutine.nim shows a basic implementation of coroutines communicating with each other on top of CPS.
We're going to walk through the execution of this example looking into the
details as we go, but first let's introduce the Coroutine
type:
type
Coroutine = ref object of Continuation
data: int
next: Coroutine
This is a Continuation
extended with the data
on which we're going to perform
a computation and a reference to some other Coroutine
object. This will allow
us to resume the execution of one coroutine from the other.
The execution starts with instantiating our coroutines, which is necessary for
continuations. The order is reversed because we need to pass a specific instance
of the consumer to the filter. filter
also takes an anonymous function as its
second argument; in our case it's a simple doubling written in a short form
provided by the std/sugar
module.
let coro2 = whelp consumer()
let coro1 = whelp filter(coro2, x => x * 2)
Both coroutines are already "running" (coroX.running == true
) but nothing is
executed yet. For this we need to actually launch them:
discard coro1.resume()
discard coro2.resume()
The resume
proc is our dispatcher for the coroutines and it's what actually
runs the continuation via the call to the function pointer stored in the
continuation:
proc resume(c: Coroutine): Coroutine {.discardable.} =
var c = Continuation c
while c.running:
c = c.fn(c)
result = Coroutine c
Actually, this is such a basic pattern for CPS code that the library provides a
trampoline
template for this, and it would be preferable to just use it here. Also, notice
how before invoking the function pointer we needed to convert a Coroutine
to
its base type so we could set c
to fn(c)
, which returns a Continuation
.
So, resume
launches the filter
coroutine:
proc filter(dest: Coroutine, f: proc(x: int): int) {.cps:Coroutine.} =
while true:
jield()
let n = f(recv())
dest.send(n)
As the first coroutine launches, it yields (suspends execution) by calling
jield
immediately (yield is a keyword in Nim). This is necessary because we
haven't actually sent any data to process, yet we need the Coroutines launched
and waiting for it. We could move the suspension points later, but we don't want
the coroutines processing the initialized-by-default value prior to the data we
send them (try moving "jields" around and inspect the results).
proc jield(c: Coroutine): Coroutine {.cpsMagic.} =
c.next = c
return nil
Our jield
proc is a special function, as signified by the {.cpsMagic.}
pragma. It allows controlling the execution flow of the continuation by
returning the continuation leg to run next. Usually, it's the same as the proc's
argument, but in our case, we store the passed continuation in the next
.
This way our coroutine could be resumed later.
Since the cpsMagic
jield
returns nil
the coroutine gets suspended. Notice,
how CPS manages the control flow for us and hides the implementation details
behind a veil of magic code transformations.
coro2
is launched next by calling resume
and in the same manner consumer
starts running and yields immediately.
Next we start feeding our coroutines the data in a loop:
for i in 1..10:
coro1.send(i)
The send
proc just sets the data the coroutine holds to the supplied number
and calls resume
, which takes us back to the previous jield
, currently in
the filter
continuation. There we receive the data and try to process it with
the passed function:
let n = f(recv())
The recv
proc is another special one. {.cpsVoodoo.}
allows returning the
contents of the concrete instance of the running continuation (which is not
accessible directly from the coroutine code of filter
and consumer
).
cpsVoodoo
functions are very similar to cpsMagic
ones, as they both can
access the contents of continuation and can only be called from the CPS
functions (filter
and consumer
). While cpsMagic
procs return the
continuation (see jield
description above), cpsVoodoo
procs return
arbitrary data.
proc recv(c: Coroutine): int {.cpsVoodoo.} =
c.data
Then we pass the processed data to the destination consumer
coroutine:
dest.send(n)
Again, the sending is just updating the state of the continuation and resuming
it from dest.next
. Receiving, then done by consumer
, is just getting that
data from the continuation.
After setting the value
to the received integer, we're finally able to print
it:
let value = recv()
echo value
Since we're at the end of the code of both coroutines, they loop and yield
again, now in the opposite order: first the consumer
and then the filter
suspends, which returns us to the main loop, ready to go again.
Dispatchers
Notes on the Example Dispatcher
An example dispatcher was included in the past, but demonstrating dispatch
conflated the purpose of the cps
macro and made misconceptions about the role
of continuation-versus-dispatcher common. The reference dispatcher can now be
found at https://github.com/disruptek/eventqueue and you can also jump directly to
the documentation.
Other Available Dispatchers
- https://github.com/alaviss/nim-sys -- next generation OS services
- https://github.com/disruptek/passenger -- create a graph of continuation runtime
- https://github.com/disruptek/supervisors -- simple dispatch patterns for composition
Documentation
See the documentation for the cps module as generated directly from the source.
Examples
A small collection of examples provides good demonstration of multiple patterns
of CPS composition. Each example runs independently, with no other requirements,
yet demonstrates different exploits of cps
.
Example | Description |
---|---|
Channels | A channel connects sender and receiver continuations |
Goto | Implementation of label and goto statements using CPS |
Iterator | A simple demonstration of a CPS-based iterator |
Coroutines | A pair of continuations communicate as coroutines |
Lazy | Lazy streams are composed by continuations in a functional style |
TryCatch | Exception handling is reimplemented using only CPS |
CpsCps | Continuations can efficiently call other continuations |
Work | Implementation of a simple continuation scheduler |
LuaCoroutines | Coroutines implemented in the style of Lua |
ThreadPool | 1,000,000 continuations run across all your CPU cores |
WebServer | Zevv's "Real World Test" WebServer And More |
Background | Run any function on a background thread |
Debugging
Expectations
See this list of open Nim issues surfaced by CPS development; some repercussions include the following:
-
Exceptions are evaluated differently under
panics:on
andpanics:off
, so you may need to usepanics:on
in order to produce correct code. -
Expressions are evaluated differently under
gc:[ao]rc
, so you may need to use those memory managers in order to produce correct code. -
The
cpp
backend often doesn't work, particularly due to faulty codegen but also, perhaps, due toexceptions:goto
assumptions that we rely upon. -
var
/openArray
/varargs
parameters to procedures with thecps
pragma are not supported. -
Nim's
for
loops work, but you cannot perform any CPS control-flow inside of them; if in doubt, use awhile
loop instead. -
Generic continuations such as the following won't work without changes to the compiler.
type
MyContinuation[T] = ref object of Continuation
something: T
Performance
If you are not running with define:danger
and gc:arc
and panics:on
then
performance considerations really aren't your primary consideration, right?
Tracing
There are two tracing systems that are enabled by default via Nim's built-in
stackTrace:on
compiler option, which defaults to on
outside of release
and danger
builds.
Stack Frames
Stack semantics are implemented by a single TraceFrame
object stored on each
continuation and these serve to capture the progress of control-flow through
multiple levels of CPS calls just as they do so for normal stack-based code.
The renderStackFrames()
and writeStackFrames()
procedures return a sequence
of strings or write them to the standard message stream, respectively. You can
run these procedures without arguments in any continuation.
You can extend the Stack
hook to alter its behavior.
Force-enable the stack frame support with --define:cpsStackFrames=on
.
Trace Deque
The trace deque system stores the last N hooks executed by the continuation,
where N defaults to 4096
(see below). A single continuation has multiple
hooks executed during its lifecycle, so these traces can be very detailed.
The renderTraceDeque()
and writeTraceDeque()
procedures return a sequence
of strings or write them to the standard message stream, respectively. You can
run these procedures without arguments in any continuation.
You can extend the Trace
hook to alter its behavior.
Force-enable the trace deque support with --define:cpsTraceDeque=on
and
alter the size of the deque with e.g. --define:traceDequeSize=100
.
Using cpsDebug
Add --define:cpsDebug=SomePass
where SomePass
matches one of the CPS
transformation passes; this will output Nim codegen corresponding to the
rewrite phase. Interesting places to start include the following:
cpsTransform
cpsResolver
cpsJump
cpsContinuationJump
cpsManageException
cpsTryFinally
- etc.
Note that only one --define:cpsDebug=...
can be enabled at a time - multiple defines will use only the final one.
Using trace
Implement trace
and it will be called at each continuation leg; see the documentation for details.
License
MIT