Re: [Haskell-cafe] Yet Another Forkable Class

2013-08-24 Thread Ozgur Akgun
Hi.

On 23 August 2013 13:29, Nicolas Trangez  wrote:

> Did anyone ever consider using type-level literals (strings) to 'name'
> effects (or transformer layers when using monad stacks)?
>

Edwin Brady had this in his effects library in Idris.
http://www.idris-lang.org/documentation/effects/

Ozgur.
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Re: [Haskell-cafe] Yet Another Forkable Class

2013-08-23 Thread Nicolas Trangez
On Fri, 2013-08-23 at 08:06 +, o...@okmij.org wrote:
> > It will
> > arbitrarily pick the first match in the former and fail to compile
> in
> > the latter case.
> Of course we can have duplicate layers. In that case, the dynamically
> closest
> handler wins -- which sounds about right (think of reset in delimited
> control).

Did anyone ever consider using type-level literals (strings) to 'name'
effects (or transformer layers when using monad stacks)?

A stupid example (OTOH) could be

updateStats :: (Member (State "min" Int) r, Member (State "max" Int)
r) => Int -> Eff r ()
updateStats i = do
min <- askMin
max <- askMax
when (i < min) $ putMin i
when (i > max) $ putMax i
  where
askMin :: Member (State "min" Int) r => Eff r Int
askMin = ask
putMax :: Member (State "max" Int) r => Int -> Eff r ()
putMax = put
-- askMax, putMin accordingly

Using constraint synonyms/ConstraintKinds (e.g. type StateMax r = Member
(State "max" Int) r) might reduce some notation overhead.

Just a thought.

Nicolas


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Re: [Haskell-cafe] Yet Another Forkable Class

2013-08-23 Thread oleg

I must stress that OpenUnion1.hs described (briefly) in the paper
is only one implementation of open unions, out of many possible.
For example, I have two more implementations. A year-old version of
the code implemented open unions *WITHOUT* overlapping instances or
Typeable.
http://okmij.org/ftp/Haskell/extensible/TList.hs

The implementation in the paper is essentially the one described in
the full HList paper, Appendix C. The one difference is that the HList
version precluded duplicate summands. Adding the duplication check to
OpenUnion1 takes three lines of code. I didn't add them because it
didn't seem necessary, or even desired.

I should further stress, OverlappingInstances are enabled only
within one module, OpenUnion1.hs. The latter is an internal, closed
module, not meant to be modified by a user. No user program needs to
declare OverlappingInstances in its LANGUAGES pragma. Second,
OverlappingInstances are used only within the closed type class
Member. This type class is not intended to be user-extensible; the
programmer need not and should not define any more instances for
it. The type class is meant to be closed. So Member emulates closed
type families implemented in the recent version of GHC. With the
closed type families, no overlapping instances are needed.

> Simply the fact that the Member class needs -XOverlappingInstances
> means that we cannot have duplicate or polymorphic effects. It will
> arbitrarily pick the first match in the former and fail to compile in
> the latter case.
Of course we can have duplicate layers. In that case, the dynamically closest
handler wins -- which sounds about right (think of reset in delimited
control). The file Eff.hs even has a test case for that, tdup.
BTW, I'm not sure of the word 'pick' -- the Member class is
a purely compile-time constraint. It doesn't do any picking -- it doesn't
do anything at all at run-time. 

> For example we should be able to project the open sum equivalent of
> Either String String into the second String but we cannot with the
> implementation in the paper.
You inject a String or a String, and you will certainly 
project a String (the one your have injected). What is the problem
then? You can always project what you have injected. Member merely
keeps track of what types could possibly be injected/projected. 
So, String + String indeed should be String.


By polymorphic effects you must mean first-class polymorphism (because
the already implemented Reader effect is polymorphic in the
environment). First of all, there are workarounds. Second, I'm not
sure what would be a good example of polymorphic effect (aside from 
ST-monad-like).

> To be honest I'm not so sure about these "effects"...
Haskell Symposium will have a panel on effect libraries in Haskell.
It seems plausible that effects, one way or the other, will end ip in
Haskell. Come to Haskell Symposium, tell us your doubts and
concerns. We want to hear them.



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Re: [Haskell-cafe] Yet Another Forkable Class

2013-08-22 Thread suhorng Y
For the open union used in extensible effects, apart from using the
Typeable mechanism, is there a more protected way to implement
the open sum type?

I managed to modified the Member class given in the paper, but
ended up having to use the vague OverlappingInstance. That's not
quite what I hope. I'm not even sure whether the instance `Member t (t :>
r)`
is more specific than `Member t (t' :> r)`.

--
suhorng

{-# LANGUAGE KindSignatures, TypeOperators, GADTs, FlexibleInstances,
 FlexibleContexts, MultiParamTypeClasses, OverlappingInstances
#-}
-- FlexibleContexts is for Show instance of Union

import Data.Functor
import Control.Applicative -- for several functor instances

-- open union
infixr 2 :>
data (a :: * -> *) :> b

data Union r v where
  Elsewhere :: Functor t' => Union r v -> Union (t' :> r) v
  Here :: Functor t => t v -> Union (t :> r) v

class Member t r where
  inj :: Functor t => t v -> Union r v
  prj :: Functor t => Union r v -> Maybe (t v)

instance Member t (t :> r) where
  inj tv = Here tv
  prj (Here tv) = Just tv
  prj (Elsewhere _) = Nothing

-- Note: overlapped by letting t' = t
instance (Functor t', Member t r) => Member t (t' :> r) where
  inj tv = Elsewhere (inj tv)
  prj (Here _)  = Nothing
  prj (Elsewhere u) = prj u

decomp :: Functor t => Union (t :> r) v -> Either (Union r v) (t v)
decomp (Here tv) = Right tv
decomp (Elsewhere u) = Left u

-- Auxiliary definitions for tests
data Void
newtype Func a = Func a

instance Show (Union Void a) where
  show _ = undefined

instance (Show (t v), Show (Union r v)) => Show (Union (t :> r) v) where
  show (Here tv) = "Here " ++ show tv
  show (Elsewhere u) = "Elsewhere " ++ show u

instance Functor Func where
  fmap f (Func x) = Func (f x)

instance Show a => Show (Func a) where
  show (Func a) = show a

type Stk = Maybe :> Either Char :> Func :> Void
type Stk' = Either Char :> Func :> Void -- used in `deTrue`, `deFalse`

unTrue :: Union Stk Bool
unTrue = inj (Func True)

unFalse :: Union Stk Bool
unFalse = inj (Just False)

-- `Func` is repeated
un5 :: Union (Maybe :> Func :> Either Char :> Func :> Void) Int
un5 = inj (Func 5)

maybe2 :: Maybe (Func Int)
maybe2 = prj un5

maybeTrue :: Maybe (Func Bool)
maybeTrue = prj unTrue

maybeFalse1 :: Maybe (Func Bool)
maybeFalse1 = prj unFalse

maybeFalse2 :: Maybe (Maybe Bool)
maybeFalse2 = prj unFalse

deTrue :: Either (Union Stk' Bool) (Maybe Bool)
deTrue = decomp unTrue

deFalse :: Either (Union Stk' Bool) (Maybe Bool)
deFalse = decomp unFalse



2013/8/22 Alberto G. Corona 

> The paper is very interesting:
>
> http://www.cs.indiana.edu/~sabry/papers/exteff.pdf
>
> It seems that the approach is mature enough and it is better in every way
> than monad transformers, while at the same time the syntax may become
> almost identical to MTL for many uses.
>
> I only expect to see the library in Hackage with all the blessings, and
> with all the instances of the MTL classes in order to make the transition
> form monad transformers  to ExtEff as transparent as possible
>
>
> 2013/8/22 
>
>
>> Perhaps effect libraries (there are several to choose from) could be a
>> better answer to Fork effects than monad transformers. One lesson from
>> the recent research in effects is that we should start thinking what
>> effect we want to achieve rather than which monad transformer to
>> use. Using ReaderT or StateT or something else is an implementation
>> detail. Once we know what effect to achieve we can write a handler, or
>> interpreter, to implement the desired operation on the World, obeying
>> the desired equations. And we are done.
>>
>> For example, with ExtEff library with which I'm more familiar, the
>> Fork effect would take as an argument a computation that cannot throw
>> any requests. That means that the parent has to provide interpreters
>> for all child effects. It becomes trivially to implement:
>>
>> > Another example would be a child that should not be able to throw
>> errors as
>> > opposed to the parent thread.
>> It is possible to specify which errors will be allowed for the child
>> thread (the ones that the parent will be willing to reflect and
>> interpret). The rest of errors will be statically prohibited then.
>>
>> > instance (Protocol p) => Forkable (WebSockets p) (ReaderT (Sink p) IO)
>> where
>> > fork (ReaderT f) = liftIO . forkIO . f =<< getSink
>>
>> This is a good illustration of too much implementation detail. Why do we
>> need to know of (Sink p) as a Reader layer? Would it be clearer to
>> define an Effect of sending to the socket? Computation's type will
>> make it patent the computation is sending to the socket.
>> The parent thread, before forking, has to provide a handler for that
>> effect (and the handler will probably need a socket).
>>
>> Defining a new class for each effect is possible but not needed at
>> all. With monad transformers, a class per effect is meant to hide the
>> ordering of transformer layers in a monad transformer st

Re: [Haskell-cafe] Yet Another Forkable Class

2013-08-22 Thread John ExFalso
To be honest I'm not so sure about these "effects"... Simply the fact that
the Member class needs -XOverlappingInstances means that we cannot have
duplicate or polymorphic effects. It will arbitrarily pick the first match
in the former and fail to compile in the latter case.

Furthermore I don't really understand the way open sums are implemented.
These unions should be disjoint, but the way they're implemented in the
paper they try to be "true" unions which cannot be done as that would need
type equality (-XOverlappingInstances is a hack around this)

A correct disjoint open sum would behave well with duplicate and
polymorphic types in the type list. For example we should be able to
project the open sum equivalent of Either String String into the second
String but we cannot with the implementation in the paper. This means we
need to ~index~ the type list instead of picking the result type and
"trying for equality" with each entry. Something like this:
http://lpaste.net/92069

Of course this is very inconvenient and simply replaces the monad
transformers' lifts with a static index into the "effect" list.
In general I think there is no convenient way of stacking effects that is
also type safe. At some point we have to disambiguate which effect we are
trying to use one way or the other. The implementation in the paper simply
picks a heuristic and chooses the first effect that seems to match and
discards the others.



On 22 August 2013 12:15, Alberto G. Corona  wrote:

> The paper is very interesting:
>
> http://www.cs.indiana.edu/~sabry/papers/exteff.pdf
>
> It seems that the approach is mature enough and it is better in every way
> than monad transformers, while at the same time the syntax may become
> almost identical to MTL for many uses.
>
> I only expect to see the library in Hackage with all the blessings, and
> with all the instances of the MTL classes in order to make the transition
> form monad transformers  to ExtEff as transparent as possible
>
>
> 2013/8/22 
>
>
>> Perhaps effect libraries (there are several to choose from) could be a
>> better answer to Fork effects than monad transformers. One lesson from
>> the recent research in effects is that we should start thinking what
>> effect we want to achieve rather than which monad transformer to
>> use. Using ReaderT or StateT or something else is an implementation
>> detail. Once we know what effect to achieve we can write a handler, or
>> interpreter, to implement the desired operation on the World, obeying
>> the desired equations. And we are done.
>>
>> For example, with ExtEff library with which I'm more familiar, the
>> Fork effect would take as an argument a computation that cannot throw
>> any requests. That means that the parent has to provide interpreters
>> for all child effects. It becomes trivially to implement:
>>
>> > Another example would be a child that should not be able to throw
>> errors as
>> > opposed to the parent thread.
>> It is possible to specify which errors will be allowed for the child
>> thread (the ones that the parent will be willing to reflect and
>> interpret). The rest of errors will be statically prohibited then.
>>
>> > instance (Protocol p) => Forkable (WebSockets p) (ReaderT (Sink p) IO)
>> where
>> > fork (ReaderT f) = liftIO . forkIO . f =<< getSink
>>
>> This is a good illustration of too much implementation detail. Why do we
>> need to know of (Sink p) as a Reader layer? Would it be clearer to
>> define an Effect of sending to the socket? Computation's type will
>> make it patent the computation is sending to the socket.
>> The parent thread, before forking, has to provide a handler for that
>> effect (and the handler will probably need a socket).
>>
>> Defining a new class for each effect is possible but not needed at
>> all. With monad transformers, a class per effect is meant to hide the
>> ordering of transformer layers in a monad transformer stack. Effect
>> libraries abstract over the implementation details out of the
>> box. Crutches -- extra classes -- are unnecessary. We can start by
>> writing handlers on a case-by-case basis. Generalization, if any,
>> we'll be easier to see. From my experience, generalizing from concrete
>> cases is easier than trying to write a (too) general code at the
>> outset. Way too often, as I read and saw, code that is meant to be
>> reusable ends up hardly usable.
>>
>>
>>
>>
>> ___
>> Haskell-Cafe mailing list
>> Haskell-Cafe@haskell.org
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>>
>
>
>
> --
> Alberto.
>
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Re: [Haskell-cafe] Yet Another Forkable Class

2013-08-22 Thread Alberto G. Corona
The paper is very interesting:

http://www.cs.indiana.edu/~sabry/papers/exteff.pdf

It seems that the approach is mature enough and it is better in every way
than monad transformers, while at the same time the syntax may become
almost identical to MTL for many uses.

I only expect to see the library in Hackage with all the blessings, and
with all the instances of the MTL classes in order to make the transition
form monad transformers  to ExtEff as transparent as possible


2013/8/22 

>
> Perhaps effect libraries (there are several to choose from) could be a
> better answer to Fork effects than monad transformers. One lesson from
> the recent research in effects is that we should start thinking what
> effect we want to achieve rather than which monad transformer to
> use. Using ReaderT or StateT or something else is an implementation
> detail. Once we know what effect to achieve we can write a handler, or
> interpreter, to implement the desired operation on the World, obeying
> the desired equations. And we are done.
>
> For example, with ExtEff library with which I'm more familiar, the
> Fork effect would take as an argument a computation that cannot throw
> any requests. That means that the parent has to provide interpreters
> for all child effects. It becomes trivially to implement:
>
> > Another example would be a child that should not be able to throw errors
> as
> > opposed to the parent thread.
> It is possible to specify which errors will be allowed for the child
> thread (the ones that the parent will be willing to reflect and
> interpret). The rest of errors will be statically prohibited then.
>
> > instance (Protocol p) => Forkable (WebSockets p) (ReaderT (Sink p) IO)
> where
> > fork (ReaderT f) = liftIO . forkIO . f =<< getSink
>
> This is a good illustration of too much implementation detail. Why do we
> need to know of (Sink p) as a Reader layer? Would it be clearer to
> define an Effect of sending to the socket? Computation's type will
> make it patent the computation is sending to the socket.
> The parent thread, before forking, has to provide a handler for that
> effect (and the handler will probably need a socket).
>
> Defining a new class for each effect is possible but not needed at
> all. With monad transformers, a class per effect is meant to hide the
> ordering of transformer layers in a monad transformer stack. Effect
> libraries abstract over the implementation details out of the
> box. Crutches -- extra classes -- are unnecessary. We can start by
> writing handlers on a case-by-case basis. Generalization, if any,
> we'll be easier to see. From my experience, generalizing from concrete
> cases is easier than trying to write a (too) general code at the
> outset. Way too often, as I read and saw, code that is meant to be
> reusable ends up hardly usable.
>
>
>
>
> ___
> Haskell-Cafe mailing list
> Haskell-Cafe@haskell.org
> http://www.haskell.org/mailman/listinfo/haskell-cafe
>



-- 
Alberto.
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Re: [Haskell-cafe] Yet Another Forkable Class

2013-08-21 Thread oleg

Perhaps effect libraries (there are several to choose from) could be a
better answer to Fork effects than monad transformers. One lesson from
the recent research in effects is that we should start thinking what
effect we want to achieve rather than which monad transformer to
use. Using ReaderT or StateT or something else is an implementation
detail. Once we know what effect to achieve we can write a handler, or
interpreter, to implement the desired operation on the World, obeying
the desired equations. And we are done.

For example, with ExtEff library with which I'm more familiar, the
Fork effect would take as an argument a computation that cannot throw
any requests. That means that the parent has to provide interpreters
for all child effects. It becomes trivially to implement:

> Another example would be a child that should not be able to throw errors as
> opposed to the parent thread.
It is possible to specify which errors will be allowed for the child
thread (the ones that the parent will be willing to reflect and
interpret). The rest of errors will be statically prohibited then.

> instance (Protocol p) => Forkable (WebSockets p) (ReaderT (Sink p) IO) where
> fork (ReaderT f) = liftIO . forkIO . f =<< getSink

This is a good illustration of too much implementation detail. Why do we
need to know of (Sink p) as a Reader layer? Would it be clearer to
define an Effect of sending to the socket? Computation's type will
make it patent the computation is sending to the socket.
The parent thread, before forking, has to provide a handler for that
effect (and the handler will probably need a socket). 

Defining a new class for each effect is possible but not needed at
all. With monad transformers, a class per effect is meant to hide the
ordering of transformer layers in a monad transformer stack. Effect
libraries abstract over the implementation details out of the
box. Crutches -- extra classes -- are unnecessary. We can start by
writing handlers on a case-by-case basis. Generalization, if any,
we'll be easier to see. From my experience, generalizing from concrete
cases is easier than trying to write a (too) general code at the
outset. Way too often, as I read and saw, code that is meant to be
reusable ends up hardly usable.




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[Haskell-cafe] Yet Another Forkable Class

2013-08-21 Thread John ExFalso
TLDR: New forkable monad/transformer suggestion
http://pastebin.com/QNUVL12v(hpaste is down)

Hi,

There are a dozen packages on hackage defining a class for monads that can
be forked, however none of these are modular enough to be useful in my
opinion.

In particular the following are not addressed:
1. Cases when the child thread's monad is different from the parent's
2. Monad transformers (this is somewhat addressed with
Control.Monad.Trans.Control)

I will try to demonstrate both issues with an example.

1. WebSockets

WebSockets is a monad that cannot itself be forked. This is because at any
given time there should only be a single thread listening on a websocket.
However there is a reasonable monad that can be forked off, namely one that
can send to the websocket - one that has access to the Sink.

So first off a "Forkable" class should not look like this:

class (MonadIO m, MonadIO n) => Forkable m where
fork :: m () -> m ThreadId

But rather like this:

class Forkable m n where
fork :: n () -> m ThreadId

For our example the instance would be

instance (Protocol p) => Forkable (WebSockets p) (ReaderT (Sink p) IO) where
fork (ReaderT f) = liftIO . forkIO . f =<< getSink

Another example would be a child that should not be able to throw errors as
opposed to the parent thread.

2. ReaderT

Continuing from the previous example to demonstrate the need to distinguish
forkable transformers.
Say we have some shared state S that both parent and child should have
access to:

type Parent p = ReaderT (TVar S) (WebSockets p)
type Child p = ReaderT (TVar S) (ReaderT (Sink p) IO)

The "forkability" of Child from Parent should be implied, however with
Forkable we have to write a separate instance.

So what I suggest is a second class:

class ForkableT t where
forkT :: (Forkable m n) => t n () -> t m ThreadId

And then:

instance ForkableT (ReaderT r) where
forkT (ReaderT f) = ReaderT $ fork . f

We can also introduce a default for Forkable that uses a ForkableT instance:

class (MonadIO m, MonadIO n) => Forkable m n where
fork :: n () -> m ThreadId
default fork :: ForkableT t => t n () -> t m ThreadId
fork = forkT

instance (Forkable m n) => Forkable (ReaderT r m) (ReaderT r n)

This means Child is automatically Forkable from Parent, no need to write a
specific case for our specific monads (and if we newtype it we can use
-XGeneralizedNewtypeDeriving)

Note how MonadTransControl already solves the specific problem of lifting a
forking operation into ReaderT. However consider ResourceT from
Control.Monad.Resource: it is basically a ReaderT, however in order to
safely deallocate resources when sharing reference counting is needed. This
means a simple lift would not suffice.

We can nevertheless provide a default ForkableT based on MonadTransControl:
class ForkableT t where
forkT :: (Forkable m n) => t n () -> t m ThreadId
default forkT :: (MonadTransControl t, Forkable m n) => t n () -> t m
ThreadId
forkT t = liftWith $ \run -> fork $ run t >> return ()

Actually resourcet's reference counting resourceForkIO also nicely
demonstrates the first problem:
type Parent p = ResourceT (WebSockets p)
type Child p = ResourceT (ReaderT (Sink p) IO)

Note how we cannot use resourceForkIO without touching the underlying
monads.

What do you think? Is there already an established way of modular forking?
I wouldn't like to litter hackage with another unusable Forkable class:)
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