Topic: A proposal to add call traits to the Standard Library


Author: Emil 'Skeen' Madsen <sovende@gmail.com>
Date: Tue, 3 Dec 2013 19:12:43 -0800 (PST)
Raw View
------=_Part_4594_12367577.1386126763182
Content-Type: multipart/alternative;
 boundary="----=_Part_4595_25723856.1386126763182"

------=_Part_4595_25723856.1386126763182
Content-Type: text/plain; charset=ISO-8859-1



This thread, is for discussion of the second revision of the paper posted
at;
    A proposal to add lambda/function traits to the STL<https://groups.google.com/a/isocpp.org/forum/#!topic/std-proposals/9zafJmVT2kQ>

The proposal is about adding traits, to query a callable type's attributes
(return and argument type(s), amongst others), at compile time.

A questions to open the discussion;
* With C++14 we are getting templated constexpr variables, should these be
used instead of `std::integral_constant`?

Currently I'm considering these two alternatives;
<code>
template<typename Callable, typename... Args>
struct arity_integral : std::integral_constant<size_t, ...>
{
};

template<typename Callable, typename... Args>
constexpr size_t arity = ...
</code>
And currently traits are implemented using the first approach, however this
yields this usage scenario;
<code>
size_t arity_old = std::arity_integral<decltype(lambda)>::value;
size_t arity_new = std::arity<decltype(lambda)>;
</code>
I think going with the old approach, to be consistent with type_traits,
however I actually wanted
to know what people think about the alternative, and possibly providing
both.

Anyhow, have a look,
I'm open to all kinds of criticism and feedback :)

--

---
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
Visit this group at http://groups.google.com/a/isocpp.org/group/std-proposals/.

------=_Part_4595_25723856.1386126763182
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr"><p>This thread, is for discussion of the second revision o=
f the paper posted at;<br>&nbsp;&nbsp;&nbsp; <a href=3D"https://groups.goog=
le.com/a/isocpp.org/forum/#!topic/std-proposals/9zafJmVT2kQ">A proposal to =
add lambda/function traits to the STL</a></p><p>The proposal is about addin=
g traits, to query a callable type's attributes (return and argument type(s=
), amongst others), at compile time.</p><p>A questions to open the discussi=
on;<br>* With C++14 we are getting templated constexpr variables, should th=
ese be used instead of `std::integral_constant`?</p><p>Currently I'm consid=
ering these two alternatives;<br>&lt;code&gt;<br>template&lt;typename Calla=
ble, typename... Args&gt;<br>struct arity_integral : std::integral_constant=
&lt;size_t, ...&gt;<br>{<br>};</p><p>template&lt;typename Callable, typenam=
e... Args&gt;<br>constexpr size_t arity =3D ...<br>&lt;/code&gt;<br>And cur=
rently traits are implemented using the first approach, however this yields=
 this usage scenario;<br>&lt;code&gt;<br>size_t arity_old =3D std::arity_in=
tegral&lt;decltype(lambda)&gt;::value;<br>size_t arity_new =3D std::arity&l=
t;decltype(lambda)&gt;;<br>&lt;/code&gt;<br>I think going with the old appr=
oach, to be consistent with type_traits, however I actually wanted<br>to kn=
ow what people think about the alternative, and possibly providing both.</p=
><p>Anyhow, have a look,<br>I'm open to all kinds of criticism and feedback=
 :)</p></div>

<p></p>

-- <br />
&nbsp;<br />
--- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to std-proposals+unsubscribe@isocpp.org.<br />
To post to this group, send email to std-proposals@isocpp.org.<br />
Visit this group at <a href=3D"http://groups.google.com/a/isocpp.org/group/=
std-proposals/">http://groups.google.com/a/isocpp.org/group/std-proposals/<=
/a>.<br />

------=_Part_4595_25723856.1386126763182--
------=_Part_4594_12367577.1386126763182
Content-Type: application/pdf; name="Proposal_to_add_call_traits v1.1.pdf"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
 filename="Proposal_to_add_call_traits v1.1.pdf"
X-Attachment-Id: f2f13823-b426-4b8b-b901-8191ce806e16
Content-ID: <f2f13823-b426-4b8b-b901-8191ce806e16>
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------=_Part_4594_12367577.1386126763182--

.


Author: Zhihao Yuan <zy@miator.net>
Date: Tue, 3 Dec 2013 23:30:38 -0500
Raw View
On Tue, Dec 3, 2013 at 10:12 PM, Emil 'Skeen' Madsen <sovende@gmail.com> wrote:
> A questions to open the discussion;
> * With C++14 we are getting templated constexpr variables, should these be
> used instead of `std::integral_constant`?

No.  Constexpr template variable only gives you value, not
type.  One major strength of integral_constant is that
integral_constant<bool, 0> and integral_constant<bool, 1>
are two different types, so their object can be used in
overload resolution:

  void f(std::true_type)
  void f(std::false_type)

Constexpr template variable does not has this.  They are
good for being compile time values, of course, but not traits.

--
Zhihao Yuan, ID lichray
The best way to predict the future is to invent it.
___________________________________________________
4BSD -- http://4bsd.biz/

--

---
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
Visit this group at http://groups.google.com/a/isocpp.org/group/std-proposals/.

.


Author: "R. Martinho Fernandes" <martinho.fernandes@gmail.com>
Date: Wed, 4 Dec 2013 02:23:15 -0800 (PST)
Raw View
------=_Part_4544_16006054.1386152595860
Content-Type: text/plain; charset=ISO-8859-1

There are several things that irk me here, so I'll just list them in order.
For qualification I am on the camp that things this kind of thing is
nigh-useless and mostly abuseful. There are very few cases where one really
needs to obtain such information, and in those cases this proposal is very
limited because we haven't been in a world of monomorphic callables in a
long time and with C++14 the relevance of that world is about to decrease
drastically. We need different tools (I'd like: a Callable concept thingy,
and for the niche scenarios some overload introspection thingy).

That said, let's go through it.

The document claims that "the interface design is chosen to match the
type_traits library", but the `type_traits` library doesn't use template
variables.

However, there are times, in which we cannot provide a truly generic
> solution, and
> where we are forced to take type information into account, and hence we
> need a generic
> way to query information about the instantiated type(s).
>

I have written a lot of generic code that uses callable objects and I never
needed this, so I got curious about the use cases (i.e. that "I must be
missing something" feeling). However the proposal document does not provide
an example. It provides an artificial example of usage, but that isn't
convincing because "You can use it to demonstrate the feature featured in
this proposal" is not an interesting example.
(The example irks me particularly because `make_stdfunction` seems quite
silly to me; to me it feels a bit like a `make_vector(T x) { return
vector<T>{x}; }`, with the difference that the vector will have a richer
interface than T, but std::function does not have a richer interface than
the source. One can just pass the original type along without wrapping it
for nought.)

Currently, when taking a callable type, by an unrestricted template, or
> when storing it
> using the auto keyword, one looses absolutely all information about the
> type,
>

This bit makes absolutely no sense. The information about the type *is all
there*. Nothing is lost. In fact, that is the sole reason the
implementation given works. `auto` is not dynamic typing. Semantically,
`auto x = get_a_T();` it loses as much information as `T x = get_a_T();`

The proposal light touches on polymorphic callables near the end, and shows
a bunch of clearly useless examples of usage. If I know the types of the
parameters, I don't need a type trait to tell me the arity. Even if I only
know the types as a variadic pack, I can ask `sizeof...` for the arity.

On Wednesday, December 4, 2013 4:12:43 AM UTC+1, Emil 'Skeen' Madsen wrote:
>
> This thread, is for discussion of the second revision of the paper posted
> at;
>     A proposal to add lambda/function traits to the STL<https://groups.google.com/a/isocpp.org/forum/#!topic/std-proposals/9zafJmVT2kQ>
>
> The proposal is about adding traits, to query a callable type's attributes
> (return and argument type(s), amongst others), at compile time.
>
> A questions to open the discussion;
> * With C++14 we are getting templated constexpr variables, should these be
> used instead of `std::integral_constant`?
>
> Currently I'm considering these two alternatives;
> <code>
> template<typename Callable, typename... Args>
> struct arity_integral : std::integral_constant<size_t, ...>
> {
> };
>
> template<typename Callable, typename... Args>
> constexpr size_t arity = ...
> </code>
> And currently traits are implemented using the first approach, however
> this yields this usage scenario;
> <code>
> size_t arity_old = std::arity_integral<decltype(lambda)>::value;
> size_t arity_new = std::arity<decltype(lambda)>;
> </code>
> I think going with the old approach, to be consistent with type_traits,
> however I actually wanted
> to know what people think about the alternative, and possibly providing
> both.
>
> Anyhow, have a look,
> I'm open to all kinds of criticism and feedback :)
>

--

---
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
Visit this group at http://groups.google.com/a/isocpp.org/group/std-proposals/.

------=_Part_4544_16006054.1386152595860
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">There are several things that irk me here, so I'll just li=
st them in order. For qualification I am on the camp that things this kind =
of thing is nigh-useless and mostly abuseful. There are very few cases wher=
e one really needs to obtain such information, and in those cases this prop=
osal is very limited because we haven't been in a world of monomorphic call=
ables in a long time and with C++14 the relevance of that world is about to=
 decrease drastically. We need different tools (I'd like: a Callable concep=
t thingy, and for the niche scenarios some overload introspection thingy).<=
br><br>That said, let's go through it.<br><br>The document claims that "the=
 interface design is chosen to match the type_traits library", but the `typ=
e_traits` library doesn't use template variables.<br><br><blockquote style=
=3D"margin: 0px 0px 0px 0.8ex; border-left: 1px solid rgb(204, 204, 204); p=
adding-left: 1ex;" class=3D"gmail_quote">However, there are times, in which=
 we cannot provide a truly generic solution, and<br>where we are forced to =
take type information into account, and hence we need a generic<br>way to q=
uery information about the instantiated type(s).<br></blockquote><div><br>I=
 have written a lot of generic code that uses callable objects and I never =
needed this, so I got curious about the use cases (i.e. that "I must be mis=
sing something" feeling). However the proposal document does not provide an=
 example. It provides an artificial example of usage, but that isn't convin=
cing because "You can use it to demonstrate the feature featured in this pr=
oposal" is not an interesting example.<br>(The example irks me particularly=
 because `make_stdfunction` seems quite silly to me; to me it feels a bit l=
ike a `make_vector(T x) { return vector&lt;T&gt;{x}; }`, with the differenc=
e that the vector will have a richer interface than T, but std::function do=
es not have a richer interface than the source. One can just pass the origi=
nal type along without wrapping it for nought.)<br><br><blockquote style=3D=
"margin: 0px 0px 0px 0.8ex; border-left: 1px solid rgb(204, 204, 204); padd=
ing-left: 1ex;" class=3D"gmail_quote">Currently, when taking a callable typ=
e, by an unrestricted template, or when storing it<br>using the auto keywor=
d, one looses absolutely all information about the type,<br></blockquote><d=
iv><br>This bit makes absolutely no sense. The information about the type *=
is all there*. Nothing is lost. In fact, that is the sole reason the implem=
entation given works. `auto` is not dynamic typing. Semantically,  `auto x =
=3D get_a_T();` it loses as much information as `T x =3D get_a_T();`<br><br=
>The proposal light touches on polymorphic callables near the end, and show=
s a bunch of clearly useless examples of usage. If I know the types of the =
parameters, I don't need a type trait to tell me the arity. Even if I only =
know the types as a variadic pack, I can ask `sizeof...` for the arity.<br>=
</div></div><br>On Wednesday, December 4, 2013 4:12:43 AM UTC+1, Emil 'Skee=
n' Madsen wrote:<blockquote class=3D"gmail_quote" style=3D"margin: 0;margin=
-left: 0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;"><div dir=3D"lt=
r"><p>This thread, is for discussion of the second revision of the paper po=
sted at;<br>&nbsp;&nbsp;&nbsp; <a href=3D"https://groups.google.com/a/isocp=
p.org/forum/#!topic/std-proposals/9zafJmVT2kQ" target=3D"_blank" onmousedow=
n=3D"this.href=3D'https://groups.google.com/a/isocpp.org/forum/#!topic/std-=
proposals/9zafJmVT2kQ';return true;" onclick=3D"this.href=3D'https://groups=
..google.com/a/isocpp.org/forum/#!topic/std-proposals/9zafJmVT2kQ';return tr=
ue;">A proposal to add lambda/function traits to the STL</a></p><p>The prop=
osal is about adding traits, to query a callable type's attributes (return =
and argument type(s), amongst others), at compile time.</p><p>A questions t=
o open the discussion;<br>* With C++14 we are getting templated constexpr v=
ariables, should these be used instead of `std::integral_constant`?</p><p>C=
urrently I'm considering these two alternatives;<br>&lt;code&gt;<br>templat=
e&lt;typename Callable, typename... Args&gt;<br>struct arity_integral : std=
::integral_constant&lt;size_t, ...&gt;<br>{<br>};</p><p>template&lt;typenam=
e Callable, typename... Args&gt;<br>constexpr size_t arity =3D ...<br>&lt;/=
code&gt;<br>And currently traits are implemented using the first approach, =
however this yields this usage scenario;<br>&lt;code&gt;<br>size_t arity_ol=
d =3D std::arity_integral&lt;decltype(<wbr>lambda)&gt;::value;<br>size_t ar=
ity_new =3D std::arity&lt;decltype(lambda)&gt;;<br>&lt;/code&gt;<br>I think=
 going with the old approach, to be consistent with type_traits, however I =
actually wanted<br>to know what people think about the alternative, and pos=
sibly providing both.</p><p>Anyhow, have a look,<br>I'm open to all kinds o=
f criticism and feedback :)</p></div></blockquote></div>

<p></p>

-- <br />
&nbsp;<br />
--- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to std-proposals+unsubscribe@isocpp.org.<br />
To post to this group, send email to std-proposals@isocpp.org.<br />
Visit this group at <a href=3D"http://groups.google.com/a/isocpp.org/group/=
std-proposals/">http://groups.google.com/a/isocpp.org/group/std-proposals/<=
/a>.<br />

------=_Part_4544_16006054.1386152595860--

.


Author: "Emil 'Skeen' Madsen" <sovende@gmail.com>
Date: Wed, 4 Dec 2013 12:04:47 +0100
Raw View
--001a1133a2ae95880004ecb361e3
Content-Type: text/plain; charset=ISO-8859-1

On Dec 4, 2013 5:30 AM, "Zhihao Yuan" <zy@miator.net> wrote:
>
> On Tue, Dec 3, 2013 at 10:12 PM, Emil 'Skeen' Madsen <sovende@gmail.com>
wrote:
> > A questions to open the discussion;
> > * With C++14 we are getting templated constexpr variables, should these
be
> > used instead of `std::integral_constant`?
>
> No.  Constexpr template variable only gives you value, not
> type.  One major strength of integral_constant is that
> integral_constant<bool, 0> and integral_constant<bool, 1>
> are two different types, so their object can be used in
> overload resolution:
>
>   void f(std::true_type)
>   void f(std::false_type)
>
> Constexpr template variable does not has this.  They are
> good for being compile time values, of course, but not traits.

I didn't consider that, but I agree the integral_constant is indeed very
cleaver due to this, I'll update the library and paper to reflect this!
>
> --
> Zhihao Yuan, ID lichray
> The best way to predict the future is to invent it.
> ___________________________________________________
> 4BSD -- http://4bsd.biz/
>
> --
>
> ---
> You received this message because you are subscribed to a topic in the
Google Groups "ISO C++ Standard - Future Proposals" group.
> To unsubscribe from this topic, visit
https://groups.google.com/a/isocpp.org/d/topic/std-proposals/X9UGZIx_ou0/unsubscribe
..
> To unsubscribe from this group and all its topics, send an email to
std-proposals+unsubscribe@isocpp.org.
> To post to this group, send email to std-proposals@isocpp.org.
> Visit this group at
http://groups.google.com/a/isocpp.org/group/std-proposals/.

--

---
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
Visit this group at http://groups.google.com/a/isocpp.org/group/std-proposals/.

--001a1133a2ae95880004ecb361e3
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

<p dir=3D"ltr"><br>
On Dec 4, 2013 5:30 AM, &quot;Zhihao Yuan&quot; &lt;<a href=3D"mailto:zy@mi=
ator.net">zy@miator.net</a>&gt; wrote:<br>
&gt;<br>
&gt; On Tue, Dec 3, 2013 at 10:12 PM, Emil &#39;Skeen&#39; Madsen &lt;<a hr=
ef=3D"mailto:sovende@gmail.com">sovende@gmail.com</a>&gt; wrote:<br>
&gt; &gt; A questions to open the discussion;<br>
&gt; &gt; * With C++14 we are getting templated constexpr variables, should=
 these be<br>
&gt; &gt; used instead of `std::integral_constant`?<br>
&gt;<br>
&gt; No. =A0Constexpr template variable only gives you value, not<br>
&gt; type. =A0One major strength of integral_constant is that<br>
&gt; integral_constant&lt;bool, 0&gt; and integral_constant&lt;bool, 1&gt;<=
br>
&gt; are two different types, so their object can be used in<br>
&gt; overload resolution:<br>
&gt;<br>
&gt; =A0 void f(std::true_type)<br>
&gt; =A0 void f(std::false_type)<br>
&gt;<br>
&gt; Constexpr template variable does not has this. =A0They are<br>
&gt; good for being compile time values, of course, but not traits.</p>
<p dir=3D"ltr">I didn&#39;t consider that, but I agree the integral_constan=
t is indeed very cleaver due to this, I&#39;ll update the library and paper=
 to reflect this!<br>
&gt;<br>
&gt; --<br>
&gt; Zhihao Yuan, ID lichray<br>
&gt; The best way to predict the future is to invent it.<br>
&gt; ___________________________________________________<br>
&gt; 4BSD -- <a href=3D"http://4bsd.biz/">http://4bsd.biz/</a><br>
&gt;<br>
&gt; --<br>
&gt;<br>
&gt; ---<br>
&gt; You received this message because you are subscribed to a topic in the=
 Google Groups &quot;ISO C++ Standard - Future Proposals&quot; group.<br>
&gt; To unsubscribe from this topic, visit <a href=3D"https://groups.google=
..com/a/isocpp.org/d/topic/std-proposals/X9UGZIx_ou0/unsubscribe">https://gr=
oups.google.com/a/isocpp.org/d/topic/std-proposals/X9UGZIx_ou0/unsubscribe<=
/a>.<br>

&gt; To unsubscribe from this group and all its topics, send an email to <a=
 href=3D"mailto:std-proposals%2Bunsubscribe@isocpp.org">std-proposals+unsub=
scribe@isocpp.org</a>.<br>
&gt; To post to this group, send email to <a href=3D"mailto:std-proposals@i=
socpp.org">std-proposals@isocpp.org</a>.<br>
&gt; Visit this group at <a href=3D"http://groups.google.com/a/isocpp.org/g=
roup/std-proposals/">http://groups.google.com/a/isocpp.org/group/std-propos=
als/</a>.<br>
</p>

<p></p>

-- <br />
&nbsp;<br />
--- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to std-proposals+unsubscribe@isocpp.org.<br />
To post to this group, send email to std-proposals@isocpp.org.<br />
Visit this group at <a href=3D"http://groups.google.com/a/isocpp.org/group/=
std-proposals/">http://groups.google.com/a/isocpp.org/group/std-proposals/<=
/a>.<br />

--001a1133a2ae95880004ecb361e3--

.


Author: Richard Smith <richard@metafoo.co.uk>
Date: Wed, 4 Dec 2013 10:21:30 -0800
Raw View
--089e0111d9266a8af104ecb97b81
Content-Type: text/plain; charset=ISO-8859-1

On Tue, Dec 3, 2013 at 8:30 PM, Zhihao Yuan <zy@miator.net> wrote:

> On Tue, Dec 3, 2013 at 10:12 PM, Emil 'Skeen' Madsen <sovende@gmail.com>
> wrote:
> > A questions to open the discussion;
> > * With C++14 we are getting templated constexpr variables, should these
> be
> > used instead of `std::integral_constant`?
>
> No.  Constexpr template variable only gives you value, not
> type.  One major strength of integral_constant is that
> integral_constant<bool, 0> and integral_constant<bool, 1>
> are two different types, so their object can be used in
> overload resolution:
>
>   void f(std::true_type)
>   void f(std::false_type)
>
> Constexpr template variable does not has this.  They are
> good for being compile time values, of course, but not traits.


Either approach works fine in both situations. The difference is which is
easier to access. Suppose we have:

  void f(std::integral_constant<std::size_t, 1>);
  void f(std::integral_constant<std::size_t, 2>);

Then...

With a std::arity class template:

  size_t arity = std::arity<foo>::value;
  f(std::arity<foo>());

With a constexpr std::arity variable template:

  size_t arity = std::arity<foo>;
  f(std::integral_constant<size_t, std::arity<foo>>());

A variable template is a little nicer to use as a value, a class template
is a little nicer to use as a type.

--

---
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
Visit this group at http://groups.google.com/a/isocpp.org/group/std-proposals/.

--089e0111d9266a8af104ecb97b81
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">On Tue, Dec 3, 2013 at 8:30 PM, Zhihao Yuan <span dir=3D"l=
tr">&lt;<a href=3D"mailto:zy@miator.net" target=3D"_blank">zy@miator.net</a=
>&gt;</span> wrote:<br><div class=3D"gmail_extra"><div class=3D"gmail_quote=
"><blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;borde=
r-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid=
;padding-left:1ex">
<div class=3D"im">On Tue, Dec 3, 2013 at 10:12 PM, Emil &#39;Skeen&#39; Mad=
sen &lt;<a href=3D"mailto:sovende@gmail.com">sovende@gmail.com</a>&gt; wrot=
e:<br>
&gt; A questions to open the discussion;<br>
&gt; * With C++14 we are getting templated constexpr variables, should thes=
e be<br>
&gt; used instead of `std::integral_constant`?<br>
<br>
</div>No. =A0Constexpr template variable only gives you value, not<br>
type. =A0One major strength of integral_constant is that<br>
integral_constant&lt;bool, 0&gt; and integral_constant&lt;bool, 1&gt;<br>
are two different types, so their object can be used in<br>
overload resolution:<br>
<br>
=A0 void f(std::true_type)<br>
=A0 void f(std::false_type)<br>
<br>
Constexpr template variable does not has this. =A0They are<br>
good for being compile time values, of course, but not traits.</blockquote>=
<div><br></div><div>Either approach works fine in both situations. The diff=
erence is which is easier to access. Suppose we have:</div><div><br></div>
<div><div>=A0 void f(std::integral_constant&lt;std::size_t, 1&gt;);</div><d=
iv>=A0 void f(std::integral_constant&lt;std::size_t, 2&gt;);</div></div><di=
v><br></div><div>Then...</div><div><br></div><div>With a std::arity class t=
emplate:</div>
<div><br></div><div>=A0 size_t arity =3D std::arity&lt;foo&gt;::value;</div=
><div>=A0 f(std::arity&lt;foo&gt;());</div><div><br></div><div>With a const=
expr std::arity variable template:</div><div><br></div><div>=A0 size_t arit=
y =3D std::arity&lt;foo&gt;;</div>
<div>=A0 f(std::integral_constant&lt;size_t, std::arity&lt;foo&gt;&gt;());<=
/div><div><br></div><div>A variable template is a little nicer to use as a =
value, a class template is a little nicer to use as a type.</div></div></di=
v>
</div>

<p></p>

-- <br />
&nbsp;<br />
--- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to std-proposals+unsubscribe@isocpp.org.<br />
To post to this group, send email to std-proposals@isocpp.org.<br />
Visit this group at <a href=3D"http://groups.google.com/a/isocpp.org/group/=
std-proposals/">http://groups.google.com/a/isocpp.org/group/std-proposals/<=
/a>.<br />

--089e0111d9266a8af104ecb97b81--

.


Author: "Billy O'Neal" <billy.oneal@gmail.com>
Date: Wed, 4 Dec 2013 10:24:28 -0800
Raw View
--001a11332d167964ba04ecb988c6
Content-Type: text/plain; charset=ISO-8859-1

I think using integral_constant makes more sense if nothing else for
consistency with the other type traits.

Billy O'Neal


On Wed, Dec 4, 2013 at 10:21 AM, Richard Smith <richard@metafoo.co.uk>wrote:

> On Tue, Dec 3, 2013 at 8:30 PM, Zhihao Yuan <zy@miator.net> wrote:
>
>> On Tue, Dec 3, 2013 at 10:12 PM, Emil 'Skeen' Madsen <sovende@gmail.com>
>> wrote:
>> > A questions to open the discussion;
>> > * With C++14 we are getting templated constexpr variables, should these
>> be
>> > used instead of `std::integral_constant`?
>>
>> No.  Constexpr template variable only gives you value, not
>> type.  One major strength of integral_constant is that
>> integral_constant<bool, 0> and integral_constant<bool, 1>
>> are two different types, so their object can be used in
>> overload resolution:
>>
>>   void f(std::true_type)
>>   void f(std::false_type)
>>
>> Constexpr template variable does not has this.  They are
>> good for being compile time values, of course, but not traits.
>
>
> Either approach works fine in both situations. The difference is which is
> easier to access. Suppose we have:
>
>   void f(std::integral_constant<std::size_t, 1>);
>   void f(std::integral_constant<std::size_t, 2>);
>
> Then...
>
> With a std::arity class template:
>
>   size_t arity = std::arity<foo>::value;
>   f(std::arity<foo>());
>
> With a constexpr std::arity variable template:
>
>   size_t arity = std::arity<foo>;
>   f(std::integral_constant<size_t, std::arity<foo>>());
>
> A variable template is a little nicer to use as a value, a class template
> is a little nicer to use as a type.
>
> --
>
> ---
> You received this message because you are subscribed to the Google Groups
> "ISO C++ Standard - Future Proposals" group.
> To unsubscribe from this group and stop receiving emails from it, send an
> email to std-proposals+unsubscribe@isocpp.org.
> To post to this group, send email to std-proposals@isocpp.org.
> Visit this group at
> http://groups.google.com/a/isocpp.org/group/std-proposals/.
>

--

---
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
Visit this group at http://groups.google.com/a/isocpp.org/group/std-proposals/.

--001a11332d167964ba04ecb988c6
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">I think using integral_constant makes more sense if nothin=
g else for consistency with the other type traits.<div class=3D"gmail_extra=
"><br clear=3D"all"><div><div dir=3D"ltr"><div>Billy O&#39;Neal</div></div>=
</div>


<br><br><div class=3D"gmail_quote">On Wed, Dec 4, 2013 at 10:21 AM, Richard=
 Smith <span dir=3D"ltr">&lt;<a href=3D"mailto:richard@metafoo.co.uk" targe=
t=3D"_blank">richard@metafoo.co.uk</a>&gt;</span> wrote:<br><blockquote cla=
ss=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;padding-left:1ex;borde=
r-left-color:rgb(204,204,204);border-left-width:1px;border-left-style:solid=
">

<div dir=3D"ltr">On Tue, Dec 3, 2013 at 8:30 PM, Zhihao Yuan <span dir=3D"l=
tr">&lt;<a href=3D"mailto:zy@miator.net" target=3D"_blank">zy@miator.net</a=
>&gt;</span> wrote:<br><div class=3D"gmail_extra"><div class=3D"gmail_quote=
"><blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;paddi=
ng-left:1ex;border-left-color:rgb(204,204,204);border-left-width:1px;border=
-left-style:solid">


<div>On Tue, Dec 3, 2013 at 10:12 PM, Emil &#39;Skeen&#39; Madsen &lt;<a hr=
ef=3D"mailto:sovende@gmail.com" target=3D"_blank">sovende@gmail.com</a>&gt;=
 wrote:<br>
&gt; A questions to open the discussion;<br>
&gt; * With C++14 we are getting templated constexpr variables, should thes=
e be<br>
&gt; used instead of `std::integral_constant`?<br>
<br>
</div>No. =A0Constexpr template variable only gives you value, not<br>
type. =A0One major strength of integral_constant is that<br>
integral_constant&lt;bool, 0&gt; and integral_constant&lt;bool, 1&gt;<br>
are two different types, so their object can be used in<br>
overload resolution:<br>
<br>
=A0 void f(std::true_type)<br>
=A0 void f(std::false_type)<br>
<br>
Constexpr template variable does not has this. =A0They are<br>
good for being compile time values, of course, but not traits.</blockquote>=
<div><br></div><div>Either approach works fine in both situations. The diff=
erence is which is easier to access. Suppose we have:</div><div><br></div>


<div><div>=A0 void f(std::integral_constant&lt;std::size_t, 1&gt;);</div><d=
iv>=A0 void f(std::integral_constant&lt;std::size_t, 2&gt;);</div></div><di=
v><br></div><div>Then...</div><div><br></div><div>With a std::arity class t=
emplate:</div>


<div><br></div><div>=A0 size_t arity =3D std::arity&lt;foo&gt;::value;</div=
><div>=A0 f(std::arity&lt;foo&gt;());</div><div><br></div><div>With a const=
expr std::arity variable template:</div><div><br></div><div>=A0 size_t arit=
y =3D std::arity&lt;foo&gt;;</div>


<div>=A0 f(std::integral_constant&lt;size_t, std::arity&lt;foo&gt;&gt;());<=
/div><div><br></div><div>A variable template is a little nicer to use as a =
value, a class template is a little nicer to use as a type.</div></div></di=
v>

<span class=3D"HOEnZb"><font color=3D"#888888">
</font></span></div><span class=3D"HOEnZb"><font color=3D"#888888">

<p></p>

-- <br>
=A0<br>
--- <br>
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br>
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to <a href=3D"mailto:std-proposals%2Bunsubscribe@isocpp.org" target=3D=
"_blank">std-proposals+unsubscribe@isocpp.org</a>.<br>
To post to this group, send email to <a href=3D"mailto:std-proposals@isocpp=
..org" target=3D"_blank">std-proposals@isocpp.org</a>.<br>
Visit this group at <a href=3D"http://groups.google.com/a/isocpp.org/group/=
std-proposals/" target=3D"_blank">http://groups.google.com/a/isocpp.org/gro=
up/std-proposals/</a>.<br>
</font></span></blockquote></div><br></div></div>

<p></p>

-- <br />
&nbsp;<br />
--- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to std-proposals+unsubscribe@isocpp.org.<br />
To post to this group, send email to std-proposals@isocpp.org.<br />
Visit this group at <a href=3D"http://groups.google.com/a/isocpp.org/group/=
std-proposals/">http://groups.google.com/a/isocpp.org/group/std-proposals/<=
/a>.<br />

--001a11332d167964ba04ecb988c6--

.


Author: Joshua Boyce <raptorfactor@raptorfactor.com>
Date: Thu, 5 Dec 2013 14:35:00 +1100
Raw View
--047d7b6d8c141b3d0e04ecc13805
Content-Type: text/plain; charset=ISO-8859-1

On Wed, Dec 4, 2013 at 9:23 PM, R. Martinho Fernandes <
martinho.fernandes@gmail.com> wrote:

> I have written a lot of generic code that uses callable objects and I
> never needed this, so I got curious about the use cases (i.e. that "I must
> be missing something" feeling). However the proposal document does not
> provide an example. It provides an artificial example of usage, but that
> isn't convincing because "You can use it to demonstrate the feature
> featured in this proposal" is not an interesting example.
>
>
I use my own implementation of something like this in what is effectively a
JIT wrapper. (I take a C++ function pointer plus the args to call it with,
and then inspect the arity/parameter types/return type to generate assembly
code on the fly -- using a JIT library (AsmJit) with a more 'C with
Classes' style interface -- which is then injected into another process.)


Granted this is definitely a niche, but I would think there are other
legitimate use cases (for certain definitions of 'legitimate', I agree it
could be equally considered 'abuse' by some :)).

--

---
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
Visit this group at http://groups.google.com/a/isocpp.org/group/std-proposals/.

--047d7b6d8c141b3d0e04ecc13805
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr"><div class=3D"gmail_quote">On Wed, Dec 4, 2013 at 9:23 PM,=
 R. Martinho Fernandes <span dir=3D"ltr">&lt;<a href=3D"mailto:martinho.fer=
nandes@gmail.com" target=3D"_blank">martinho.fernandes@gmail.com</a>&gt;</s=
pan> wrote:<br>

<blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;padding=
-left:1ex;border-left-color:rgb(204,204,204);border-left-width:1px;border-l=
eft-style:solid"><div dir=3D"ltr"><div>I have written a lot of generic code=
 that uses callable objects and I never needed this, so I got curious about=
 the use cases (i.e. that &quot;I must be missing something&quot; feeling).=
 However the proposal document does not provide an example. It provides an =
artificial example of usage, but that isn&#39;t convincing because &quot;Yo=
u can use it to demonstrate the feature featured in this proposal&quot; is =
not an interesting example.<br>

</div><div><div class=3D"h5"><br></div></div></div></blockquote><div>=A0</d=
iv></div><div>I use my own implementation of something like this in what is=
 effectively a JIT wrapper. (I take a C++ function pointer plus the args to=
 call it with, and then inspect the arity/parameter types/return type to ge=
nerate assembly code on the fly -- using a JIT library (AsmJit) with a more=
 &#39;C with Classes&#39; style interface -- which is then injected into an=
other process.)</div>

<div class=3D"gmail_extra"><br></div><div class=3D"gmail_extra"><br></div><=
div class=3D"gmail_extra">Granted this is definitely=A0a niche, but I would=
 think there are other legitimate use cases (for certain definitions of &#3=
9;legitimate&#39;, I agree it could be equally considered &#39;abuse&#39; b=
y some :)).<br>

</div></div>

<p></p>

-- <br />
&nbsp;<br />
--- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to std-proposals+unsubscribe@isocpp.org.<br />
To post to this group, send email to std-proposals@isocpp.org.<br />
Visit this group at <a href=3D"http://groups.google.com/a/isocpp.org/group/=
std-proposals/">http://groups.google.com/a/isocpp.org/group/std-proposals/<=
/a>.<br />

--047d7b6d8c141b3d0e04ecc13805--

.


Author: "R. Martinho Fernandes" <martinho.fernandes@gmail.com>
Date: Thu, 5 Dec 2013 03:01:11 -0800 (PST)
Raw View
------=_Part_1290_29226541.1386241271742
Content-Type: text/plain; charset=ISO-8859-1

On Thursday, December 5, 2013 4:35:00 AM UTC+1, Joshua Boyce wrote:
>
> On Wed, Dec 4, 2013 at 9:23 PM, R. Martinho Fernandes <
> martinho....@gmail.com <javascript:>> wrote:
>
>> I have written a lot of generic code that uses callable objects and I
>> never needed this, so I got curious about the use cases (i.e. that "I must
>> be missing something" feeling). However the proposal document does not
>> provide an example. It provides an artificial example of usage, but that
>> isn't convincing because "You can use it to demonstrate the feature
>> featured in this proposal" is not an interesting example.
>>
>>
> I use my own implementation of something like this in what is effectively
> a JIT wrapper. (I take a C++ function pointer plus the args to call it
> with, and then inspect the arity/parameter types/return type to generate
> assembly code on the fly -- using a JIT library (AsmJit) with a more 'C
> with Classes' style interface -- which is then injected into another
> process.
>

To support non-overloaded function pointers there's no need for traits.

template <typename R, typename... A>
void f(R(*)(A...));


--

---
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
Visit this group at http://groups.google.com/a/isocpp.org/group/std-proposals/.

------=_Part_1290_29226541.1386241271742
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">On Thursday, December 5, 2013 4:35:00 AM UTC+1, Joshua Boy=
ce wrote:<blockquote class=3D"gmail_quote" style=3D"margin: 0;margin-left: =
0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;"><div><div class=3D"gm=
ail_quote">On Wed, Dec 4, 2013 at 9:23 PM, R. Martinho Fernandes <span dir=
=3D"ltr">&lt;<a href=3D"javascript:" target=3D"_blank" gdf-obfuscated-mailt=
o=3D"OGZI5FoELvwJ" onmousedown=3D"this.href=3D'javascript:';return true;" o=
nclick=3D"this.href=3D'javascript:';return true;">martinho....@gmail.com</a=
>&gt;</span> wrote:<br>

<blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;padding=
-left:1ex;border-left-color:rgb(204,204,204);border-left-width:1px;border-l=
eft-style:solid"><div dir=3D"ltr"><div>I have written a lot of generic code=
 that uses callable objects and I never needed this, so I got curious about=
 the use cases (i.e. that "I must be missing something" feeling). However t=
he proposal document does not provide an example. It provides an artificial=
 example of usage, but that isn't convincing because "You can use it to dem=
onstrate the feature featured in this proposal" is not an interesting examp=
le.<br>

</div><div><div><br></div></div></div></blockquote><div>&nbsp;</div></div><=
div>I use my own implementation of something like this in what is effective=
ly a JIT wrapper. (I take a C++ function pointer plus the args to call it w=
ith, and then inspect the arity/parameter types/return type to generate ass=
embly code on the fly -- using a JIT library (AsmJit) with a more 'C with C=
lasses' style interface -- which is then injected into another process.</di=
v></div></blockquote><div><br>To support non-overloaded function pointers t=
here's no need for traits.<br><br><div class=3D"prettyprint" style=3D"backg=
round-color: rgb(250, 250, 250); border-color: rgb(187, 187, 187); border-s=
tyle: solid; border-width: 1px; word-wrap: break-word;"><code class=3D"pret=
typrint"><div class=3D"subprettyprint"><span style=3D"color: #008;" class=
=3D"styled-by-prettify">template</span><span style=3D"color: #000;" class=
=3D"styled-by-prettify"> </span><span style=3D"color: #660;" class=3D"style=
d-by-prettify">&lt;</span><span style=3D"color: #008;" class=3D"styled-by-p=
rettify">typename</span><span style=3D"color: #000;" class=3D"styled-by-pre=
ttify"> R</span><span style=3D"color: #660;" class=3D"styled-by-prettify">,=
</span><span style=3D"color: #000;" class=3D"styled-by-prettify"> </span><s=
pan style=3D"color: #008;" class=3D"styled-by-prettify">typename</span><spa=
n style=3D"color: #660;" class=3D"styled-by-prettify">...</span><span style=
=3D"color: #000;" class=3D"styled-by-prettify"> A</span><span style=3D"colo=
r: #660;" class=3D"styled-by-prettify">&gt;</span><span style=3D"color: #00=
0;" class=3D"styled-by-prettify"><br></span><span style=3D"color: #008;" cl=
ass=3D"styled-by-prettify">void</span><span style=3D"color: #000;" class=3D=
"styled-by-prettify"> f</span><span style=3D"color: #660;" class=3D"styled-=
by-prettify">(</span><span style=3D"color: #000;" class=3D"styled-by-pretti=
fy">R</span><span style=3D"color: #660;" class=3D"styled-by-prettify">(*)(<=
/span><span style=3D"color: #000;" class=3D"styled-by-prettify">A</span><sp=
an style=3D"color: #660;" class=3D"styled-by-prettify">...));</span></div><=
/code></div><br><br></div></div>

<p></p>

-- <br />
&nbsp;<br />
--- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to std-proposals+unsubscribe@isocpp.org.<br />
To post to this group, send email to std-proposals@isocpp.org.<br />
Visit this group at <a href=3D"http://groups.google.com/a/isocpp.org/group/=
std-proposals/">http://groups.google.com/a/isocpp.org/group/std-proposals/<=
/a>.<br />

------=_Part_1290_29226541.1386241271742--

.