What is currying?
How can currying be done in C++?
Please Explain binders in STL container?
What is currying?
How can currying be done in C++?
Please Explain binders in STL container?
In short, currying takes a function f(x, y)
and given a fixed Y
, gives a new function g(x)
where
g(x) == f(x, Y)
This new function may be called in situations where only one argument is supplied, and passes the call on to the original f
function with the fixed Y
argument.
The binders in the STL allow you to do this for C++ functions. For example:
#include <functional>
#include <iostream>
#include <vector>
using namespace std;
// declare a binary function object
class adder: public binary_function<int, int, int> {
public:
int operator()(int x, int y) const
{
return x + y;
}
};
int main()
{
// initialise some sample data
vector<int> a, b;
a.push_back(1);
a.push_back(2);
a.push_back(3);
// here we declare a function object f and try it out
adder f;
cout << "f(2, 3) = " << f(2, 3) << endl;
// transform() expects a function with one argument, so we use
// bind2nd to make a new function based on f, that takes one
// argument and adds 5 to it
transform(a.begin(), a.end(), back_inserter(b), bind2nd(f, 5));
// output b to see what we got
cout << "b = [" << endl;
for (vector<int>::iterator i = b.begin(); i != b.end(); ++i) {
cout << " " << *i << endl;
}
cout << "]" << endl;
return 0;
}
bind
functions do. "Currying" is the process of transforming a function taking N arguments into a function taking one argument and returning a function with N-1 arguments, e.g. void (*)(int, short, bool)
becomes X (*)(int)
with X
being void (*)(short, bool)
. See haskell.org/haskellwiki/Currying for all you ever wanted to know about currying and partial function application. –
Ozone Currying simply means a transformation of a function of several arguments to a function of a single argument. This is most easily illustrated using an example:
Take a function f
that accepts three arguments:
int
f(int a,std::string b,float c)
{
// do something with a, b, and c
return 0;
}
If we want to call f
, we have to provide all of its arguments f(1,"some string",19.7f)
.
Then a curried version of f
, let's call it curried_f=curry(f)
only expects a single argument, that corresponds to the first argument of f
, namely the argument a
. Additionally, f(1,"some string",19.7f)
can also be written using the curried version as curried_f(1)("some string")(19.7f)
. The return value of curried_f(1)
on the other hand is just another function, that handles the next argument of f
. In the end, we end up with a function or callable curried_f
that fulfills the following equality:
curried_f(first_arg)(second_arg)...(last_arg) == f(first_arg,second_arg,...,last_arg).
The following is a little bit more complicated, but works very well for me (using c++11)... It also allows currying of arbitrary degree like so: auto curried=curry(f)(arg1)(arg2)(arg3)
and later auto result=curried(arg4)(arg5)
. Here it goes:
#include <functional>
namespace _dtl {
template <typename FUNCTION> struct
_curry;
// specialization for functions with a single argument
template <typename R,typename T> struct
_curry<std::function<R(T)>> {
using
type = std::function<R(T)>;
const type
result;
_curry(type fun) : result(fun) {}
};
// recursive specialization for functions with more arguments
template <typename R,typename T,typename...Ts> struct
_curry<std::function<R(T,Ts...)>> {
using
remaining_type = typename _curry<std::function<R(Ts...)> >::type;
using
type = std::function<remaining_type(T)>;
const type
result;
_curry(std::function<R(T,Ts...)> fun)
: result (
[=](const T& t) {
return _curry<std::function<R(Ts...)>>(
[=](const Ts&...ts){
return fun(t, ts...);
}
).result;
}
) {}
};
}
template <typename R,typename...Ts> auto
curry(const std::function<R(Ts...)> fun)
-> typename _dtl::_curry<std::function<R(Ts...)>>::type
{
return _dtl::_curry<std::function<R(Ts...)>>(fun).result;
}
template <typename R,typename...Ts> auto
curry(R(* const fun)(Ts...))
-> typename _dtl::_curry<std::function<R(Ts...)>>::type
{
return _dtl::_curry<std::function<R(Ts...)>>(fun).result;
}
#include <iostream>
void
f(std::string a,std::string b,std::string c)
{
std::cout << a << b << c;
}
int
main() {
curry(f)("Hello ")("functional ")("world!");
return 0;
}
OK, as Samer commented, I should add some explanations as to how this works. The actual implementation is done in the _dtl::_curry
, while the template functions curry
are only convenience wrappers. The implementation is recursive over the arguments of the std::function
template argument FUNCTION
.
For a function with only a single argument, the result is identical to the original function.
_curry(std::function<R(T,Ts...)> fun)
: result (
[=](const T& t) {
return _curry<std::function<R(Ts...)>>(
[=](const Ts&...ts){
return fun(t, ts...);
}
).result;
}
) {}
Here the tricky thing: For a function with more arguments, we return a lambda whose argument is bound to the first argument to the call to fun
. Finally, the remaining currying for the remaining N-1
arguments is delegated to the implementation of _curry<Ts...>
with one less template argument.
A new idea to approach the problem of currying just came to me... With the introduction of if constexpr
into c++17 (and with the help of void_t
to determine if a function is fully curried), things seem to get a lot easier:
template< class, class = std::void_t<> > struct
needs_unapply : std::true_type { };
template< class T > struct
needs_unapply<T, std::void_t<decltype(std::declval<T>()())>> : std::false_type { };
template <typename F> auto
curry(F&& f) {
/// Check if f() is a valid function call. If not we need
/// to curry at least one argument:
if constexpr (needs_unapply<decltype(f)>::value) {
return [=](auto&& x) {
return curry(
[=](auto&&...xs) -> decltype(f(x,xs...)) {
return f(x,xs...);
}
);
};
}
else {
/// If 'f()' is a valid call, just call it, we are done.
return f();
}
}
int
main()
{
auto f = [](auto a, auto b, auto c, auto d) {
return a * b * c * d;
};
return curry(f)(1)(2)(3)(4);
}
See code in action on here. With a similar approach, here is how to curry functions with arbitrary number of arguments.
The same idea seems to work out also in C++14, if we exchange the constexpr if
with a template selection depending on the test needs_unapply<decltype(f)>::value
:
template <typename F> auto
curry(F&& f);
template <bool> struct
curry_on;
template <> struct
curry_on<false> {
template <typename F> static auto
apply(F&& f) {
return f();
}
};
template <> struct
curry_on<true> {
template <typename F> static auto
apply(F&& f) {
return [=](auto&& x) {
return curry(
[=](auto&&...xs) -> decltype(f(x,xs...)) {
return f(x,xs...);
}
);
};
}
};
template <typename F> auto
curry(F&& f) {
return curry_on<needs_unapply<decltype(f)>::value>::template apply(f);
}
If you want to force our curry function to inline, we can apply compiler specific macros defined like this.
#if defined(_MSC_VER)
#define FORCE_INLINE __forceinline
#elif defined(__GNUC__) || defined(__GNUG__)
#define FORCE_INLINE __attribute__((always_inline))
#else // Clang or else
#define FORCE_INLINE inline
#endif
std::void_t
is also C++17 but can be replaced: en.cppreference.com/w/cpp/types/void_t –
Prognostic ... if constexpr (std::is_invocable_v<F>) ...
godbolt.org/z/cMcMY5Goo –
Sabbatical In short, currying takes a function f(x, y)
and given a fixed Y
, gives a new function g(x)
where
g(x) == f(x, Y)
This new function may be called in situations where only one argument is supplied, and passes the call on to the original f
function with the fixed Y
argument.
The binders in the STL allow you to do this for C++ functions. For example:
#include <functional>
#include <iostream>
#include <vector>
using namespace std;
// declare a binary function object
class adder: public binary_function<int, int, int> {
public:
int operator()(int x, int y) const
{
return x + y;
}
};
int main()
{
// initialise some sample data
vector<int> a, b;
a.push_back(1);
a.push_back(2);
a.push_back(3);
// here we declare a function object f and try it out
adder f;
cout << "f(2, 3) = " << f(2, 3) << endl;
// transform() expects a function with one argument, so we use
// bind2nd to make a new function based on f, that takes one
// argument and adds 5 to it
transform(a.begin(), a.end(), back_inserter(b), bind2nd(f, 5));
// output b to see what we got
cout << "b = [" << endl;
for (vector<int>::iterator i = b.begin(); i != b.end(); ++i) {
cout << " " << *i << endl;
}
cout << "]" << endl;
return 0;
}
bind
functions do. "Currying" is the process of transforming a function taking N arguments into a function taking one argument and returning a function with N-1 arguments, e.g. void (*)(int, short, bool)
becomes X (*)(int)
with X
being void (*)(short, bool)
. See haskell.org/haskellwiki/Currying for all you ever wanted to know about currying and partial function application. –
Ozone Simplifying Gregg's example, using tr1:
#include <functional>
using namespace std;
using namespace std::tr1;
using namespace std::tr1::placeholders;
int f(int, int);
..
int main(){
function<int(int)> g = bind(f, _1, 5); // g(x) == f(x, 5)
function<int(int)> h = bind(f, 2, _1); // h(x) == f(2, x)
function<int(int,int)> j = bind(g, _2); // j(x,y) == g(y)
}
Tr1 functional components allow you to write rich functional-style code in C++. As well, C++0x will allow for in-line lambda functions to do this as well:
int f(int, int);
..
int main(){
auto g = [](int x){ return f(x,5); }; // g(x) == f(x, 5)
auto h = [](int x){ return f(2,x); }; // h(x) == f(2, x)
auto j = [](int x, int y){ return g(y); }; // j(x,y) == g(y)
}
And while C++ doesn't provide the rich side-effect analysis that some functional-oriented programming languages perform, const analysis and C++0x lambda syntax can help:
struct foo{
int x;
int operator()(int y) const {
x = 42; // error! const function can't modify members
}
};
..
int main(){
int x;
auto f = [](int y){ x = 42; }; // error! lambdas don't capture by default.
}
Hope that helps.
Have a look at Boost.Bind which makes the process shown by Greg more versatile:
transform(a.begin(), a.end(), back_inserter(b), bind(f, _1, 5));
This binds 5
to f
's second argument.
It’s worth noting that this is not currying (instead, it’s partial application). However, using currying in a general way is hard in C++ (in fact, it only recently became possible at all) and partial application is often used instead.
Other answers nicely explain binders, so I won't repeat that part here. I will only demonstrate how currying and partial application can be done with lambdas in C++0x.
Code example: (Explanation in comments)
#include <iostream>
#include <functional>
using namespace std;
const function<int(int, int)> & simple_add =
[](int a, int b) -> int {
return a + b;
};
const function<function<int(int)>(int)> & curried_add =
[](int a) -> function<int(int)> {
return [a](int b) -> int {
return a + b;
};
};
int main() {
// Demonstrating simple_add
cout << simple_add(4, 5) << endl; // prints 9
// Demonstrating curried_add
cout << curried_add(4)(5) << endl; // prints 9
// Create a partially applied function from curried_add
const auto & add_4 = curried_add(4);
cout << add_4(5) << endl; // prints 9
}
If you're using C++14 it's very easy:
template <typename Func, typename... BoundArgs>
auto curry(Func func, BoundArgs... bound_args) {
return [=](auto... rest_args) {
return func(bound_args..., rest_args...);
}; // don't forget semicolumn
}
You can then use it like this:
auto add = [](auto x, auto y) { return x + y; }
// curry 4 into add
auto add4 = curry(add, 4);
add4(6); // 10
If you want it to work with member function pointers, you have to add overloaded version:
template <
typename T, typename R, typename... Args,
typename P,
typename... BoundArgs
>
auto curry(R (T::*func)(Args...), P p, BoundArgs... bound_args) {
return [=](auto... rest_args) {
return (p->*func)(bound_args..., rest_args...);
};
}
You can then use it like this:
class Adder
{
public:
int Add(int x, int y)
{ return x + y; }
};
Adder adder;
auto add4 = curry(&Adder::Add, &adder, 4);
add4(5); // 9
Please note that the above implementations do not use perfect forwarding, therefore bound_args are always copied (not moved).
f
, and allow curry(f)(3)(2)(1)
before invoking. +1, because partial function evaluation is still useful (and often what people mean by 'curry'), and because of how tight it is. You can improve performance with much more code and perfect forwarding. –
Provenance tuple
and later apply
it. –
Predicant Some great answers here. I thought I would add my own because it was fun to play around with the concept.
Partial function application: The process of "binding" a function with only some of its parameters, deferring the rest to be filled in later. The result is another function with fewer parameters.
Currying: Is a special form of partial function application where you can only "bind" a single argument at a time. The result is another function with exactly 1 fewer parameter.
The code I'm about to present is partial function application from which currying is possible, but not the only possibility. It offers a few benefits over the above currying implementations (mainly because it's partial function application and not currying, heh).
Applying over an empty function:
auto sum0 = [](){return 0;};
std::cout << partial_apply(sum0)() << std::endl;
Applying multiple arguments at a time:
auto sum10 = [](int a, int b, int c, int d, int e, int f, int g, int h, int i, int j){return a+b+c+d+e+f+g+h+i+j;};
std::cout << partial_apply(sum10)(1)(1,1)(1,1,1)(1,1,1,1) << std::endl; // 10
constexpr
support that allows for compile-time static_assert
:
static_assert(partial_apply(sum0)() == 0);
A useful error message if you accidentally go too far in providing arguments:
auto sum1 = [](int x){ return x;};
partial_apply(sum1)(1)(1);
error: static_assert failed "Attempting to apply too many arguments!"
Other answers above return lambdas that bind an argument and then return further lambdas. This approach wraps that essential functionality into a callable object. Definitions for operator()
allow the internal lambda to be called. Variadic templates allow us to check for someone going too far, and an implicit conversion function to the result type of the function call allows us to print the result or compare the object to a primitive.
Code:
namespace detail{
template<class F>
using is_zero_callable = decltype(std::declval<F>()());
template<class F>
constexpr bool is_zero_callable_v = std::experimental::is_detected_v<is_zero_callable, F>;
}
template<class F>
struct partial_apply_t
{
template<class... Args>
constexpr auto operator()(Args... args)
{
static_assert(sizeof...(args) == 0 || !is_zero_callable, "Attempting to apply too many arguments!");
auto bind_some = [=](auto... rest) -> decltype(myFun(args..., rest...))
{
return myFun(args..., rest...);
};
using bind_t = decltype(bind_some);
return partial_apply_t<bind_t>{bind_some};
}
explicit constexpr partial_apply_t(F fun) : myFun(fun){}
constexpr operator auto()
{
if constexpr (is_zero_callable)
return myFun();
else
return *this; // a callable
}
static constexpr bool is_zero_callable = detail::is_zero_callable_v<F>;
F myFun;
};
A few more notes:
constexpr
lambda support in C++17
Some tests:
auto sum0 = [](){return 0;};
auto sum1 = [](int x){ return x;};
auto sum2 = [](int x, int y){ return x + y;};
auto sum3 = [](int x, int y, int z){ return x + y + z; };
auto sum10 = [](int a, int b, int c, int d, int e, int f, int g, int h, int i, int j){return a+b+c+d+e+f+g+h+i+j;};
std::cout << partial_apply(sum0)() << std::endl; //0
static_assert(partial_apply(sum0)() == 0, "sum0 should return 0");
std::cout << partial_apply(sum1)(1) << std::endl; // 1
std::cout << partial_apply(sum2)(1)(1) << std::endl; // 2
std::cout << partial_apply(sum3)(1)(1)(1) << std::endl; // 3
static_assert(partial_apply(sum3)(1)(1)(1) == 3, "sum3 should return 3");
std::cout << partial_apply(sum10)(1)(1,1)(1,1,1)(1,1,1,1) << std::endl; // 10
//partial_apply(sum1)(1)(1); // fails static assert
auto partiallyApplied = partial_apply(sum3)(1)(1);
std::function<int(int)> finish_applying = partiallyApplied;
std::cout << std::boolalpha << (finish_applying(1) == 3) << std::endl; // true
auto plus2 = partial_apply(sum3)(1)(1);
std::cout << std::boolalpha << (plus2(1) == 3) << std::endl; // true
std::cout << std::boolalpha << (plus2(3) == 5) << std::endl; // true
Currying is a way of reducing a function that takes multiple arguments into a sequence of nested functions with one argument each:
full = (lambda a, b, c: (a + b + c))
print full (1, 2, 3) # print 6
# Curried style
curried = (lambda a: (lambda b: (lambda c: (a + b + c))))
print curried (1)(2)(3) # print 6
Currying is nice because you can define functions that are simply wrappers around other functions with pre-defined values, and then pass around the simplified functions. C++ STL binders provide an implementation of this in C++.
I implemented currying with variadic templates as well (see Julian's answer). However, I did not make use of recursion or std::function
. Note: It uses a number of C++14 features.
The provided example (main
function) actually runs at compile time, proving that the currying method does not trump essential optimizations by the compiler.
The code can be found here: https://gist.github.com/Garciat/c7e4bef299ee5c607948
with this helper file: https://gist.github.com/Garciat/cafe27d04cfdff0e891e
The code still needs (a lot of) work, which I may or may not complete soon. Either way, I'm posting this here for future reference.
Posting code in case links die (though they shouldn't):
#include <type_traits>
#include <tuple>
#include <functional>
#include <iostream>
// ---
template <typename FType>
struct function_traits;
template <typename RType, typename... ArgTypes>
struct function_traits<RType(ArgTypes...)> {
using arity = std::integral_constant<size_t, sizeof...(ArgTypes)>;
using result_type = RType;
template <size_t Index>
using arg_type = typename std::tuple_element<Index, std::tuple<ArgTypes...>>::type;
};
// ---
namespace details {
template <typename T>
struct function_type_impl
: function_type_impl<decltype(&T::operator())>
{ };
template <typename RType, typename... ArgTypes>
struct function_type_impl<RType(ArgTypes...)> {
using type = RType(ArgTypes...);
};
template <typename RType, typename... ArgTypes>
struct function_type_impl<RType(*)(ArgTypes...)> {
using type = RType(ArgTypes...);
};
template <typename RType, typename... ArgTypes>
struct function_type_impl<std::function<RType(ArgTypes...)>> {
using type = RType(ArgTypes...);
};
template <typename T, typename RType, typename... ArgTypes>
struct function_type_impl<RType(T::*)(ArgTypes...)> {
using type = RType(ArgTypes...);
};
template <typename T, typename RType, typename... ArgTypes>
struct function_type_impl<RType(T::*)(ArgTypes...) const> {
using type = RType(ArgTypes...);
};
}
template <typename T>
struct function_type
: details::function_type_impl<typename std::remove_cv<typename std::remove_reference<T>::type>::type>
{ };
// ---
template <typename Args, typename Params>
struct apply_args;
template <typename HeadArgs, typename... Args, typename HeadParams, typename... Params>
struct apply_args<std::tuple<HeadArgs, Args...>, std::tuple<HeadParams, Params...>>
: std::enable_if<
std::is_constructible<HeadParams, HeadArgs>::value,
apply_args<std::tuple<Args...>, std::tuple<Params...>>
>::type
{ };
template <typename... Params>
struct apply_args<std::tuple<>, std::tuple<Params...>> {
using type = std::tuple<Params...>;
};
// ---
template <typename TupleType>
struct is_empty_tuple : std::false_type { };
template <>
struct is_empty_tuple<std::tuple<>> : std::true_type { };
// ----
template <typename FType, typename GivenArgs, typename RestArgs>
struct currying;
template <typename FType, typename... GivenArgs, typename... RestArgs>
struct currying<FType, std::tuple<GivenArgs...>, std::tuple<RestArgs...>> {
std::tuple<GivenArgs...> given_args;
FType func;
template <typename Func, typename... GivenArgsReal>
constexpr
currying(Func&& func, GivenArgsReal&&... args) :
given_args(std::forward<GivenArgsReal>(args)...),
func(std::move(func))
{ }
template <typename... Args>
constexpr
auto operator() (Args&&... args) const& {
using ParamsTuple = std::tuple<RestArgs...>;
using ArgsTuple = std::tuple<Args...>;
using RestArgsPrime = typename apply_args<ArgsTuple, ParamsTuple>::type;
using CanExecute = is_empty_tuple<RestArgsPrime>;
return apply(CanExecute{}, std::make_index_sequence<sizeof...(GivenArgs)>{}, std::forward<Args>(args)...);
}
template <typename... Args>
constexpr
auto operator() (Args&&... args) && {
using ParamsTuple = std::tuple<RestArgs...>;
using ArgsTuple = std::tuple<Args...>;
using RestArgsPrime = typename apply_args<ArgsTuple, ParamsTuple>::type;
using CanExecute = is_empty_tuple<RestArgsPrime>;
return std::move(*this).apply(CanExecute{}, std::make_index_sequence<sizeof...(GivenArgs)>{}, std::forward<Args>(args)...);
}
private:
template <typename... Args, size_t... Indices>
constexpr
auto apply(std::false_type, std::index_sequence<Indices...>, Args&&... args) const& {
using ParamsTuple = std::tuple<RestArgs...>;
using ArgsTuple = std::tuple<Args...>;
using RestArgsPrime = typename apply_args<ArgsTuple, ParamsTuple>::type;
using CurryType = currying<FType, std::tuple<GivenArgs..., Args...>, RestArgsPrime>;
return CurryType{ func, std::get<Indices>(given_args)..., std::forward<Args>(args)... };
}
template <typename... Args, size_t... Indices>
constexpr
auto apply(std::false_type, std::index_sequence<Indices...>, Args&&... args) && {
using ParamsTuple = std::tuple<RestArgs...>;
using ArgsTuple = std::tuple<Args...>;
using RestArgsPrime = typename apply_args<ArgsTuple, ParamsTuple>::type;
using CurryType = currying<FType, std::tuple<GivenArgs..., Args...>, RestArgsPrime>;
return CurryType{ std::move(func), std::get<Indices>(std::move(given_args))..., std::forward<Args>(args)... };
}
template <typename... Args, size_t... Indices>
constexpr
auto apply(std::true_type, std::index_sequence<Indices...>, Args&&... args) const& {
return func(std::get<Indices>(given_args)..., std::forward<Args>(args)...);
}
template <typename... Args, size_t... Indices>
constexpr
auto apply(std::true_type, std::index_sequence<Indices...>, Args&&... args) && {
return func(std::get<Indices>(std::move(given_args))..., std::forward<Args>(args)...);
}
};
// ---
template <typename FType, size_t... Indices>
constexpr
auto curry(FType&& func, std::index_sequence<Indices...>) {
using RealFType = typename function_type<FType>::type;
using FTypeTraits = function_traits<RealFType>;
using CurryType = currying<FType, std::tuple<>, std::tuple<typename FTypeTraits::template arg_type<Indices>...>>;
return CurryType{ std::move(func) };
}
template <typename FType>
constexpr
auto curry(FType&& func) {
using RealFType = typename function_type<FType>::type;
using FTypeArity = typename function_traits<RealFType>::arity;
return curry(std::move(func), std::make_index_sequence<FTypeArity::value>{});
}
// ---
int main() {
auto add = curry([](int a, int b) { return a + b; });
std::cout << add(5)(10) << std::endl;
}
These Links are relevant:
The Lambda Calculus page on Wikipedia has a clear example of currying
http://en.wikipedia.org/wiki/Lambda_calculus#Motivation
This paper treats currying in C/C++
http://asg.unige.ch/site/papers/Dami91a.pdf
The library Boost.Hana provides a pretty handy solution, namely boost::hana::curry
, which can be used like this:
#include <boost/hana/functional/curry.hpp>
using boost::hana::curry;
int main() {
constexpr auto add = [](auto x, auto y, auto z) {
return x + y + z;
};
static_assert(curry<3>(add)(1)(2)(3) == 6);
static_assert(curry<3>(add)(1)(2, 3) == 6);
static_assert(curry<3>(add)(1, 2)(3) == 6);
static_assert(curry<3>(add)(1, 2, 3) == 6);
}
C++20 provides bind_front for doing currying.
For older C++ version it can be implemented (for single argument) as follows:
template <typename TFunc, typename TArg>
class CurryT
{
private:
TFunc func;
TArg arg ;
public:
template <typename TFunc_, typename TArg_>
CurryT(TFunc_ &&func, TArg_ &&arg)
: func(std::forward<TFunc_>(func))
, arg (std::forward<TArg_ >(arg ))
{}
template <typename... TArgs>
auto operator()(TArgs &&...args) const
-> decltype( func(arg, std::forward<TArgs>(args)...) )
{ return func(arg, std::forward<TArgs>(args)...); }
};
template <typename TFunc, typename TArg>
CurryT<std::decay_t<TFunc>, std::remove_cv_t<TArg>> Curry(TFunc &&func, TArg &&arg)
{ return {std::forward<TFunc>(func), std::forward<TArg>(arg)}; }
https://coliru.stacked-crooked.com/a/82856e39da5fa50d
void Abc(std::string a, int b, int c)
{
std::cerr << a << b << c << std::endl;
}
int main()
{
std::string str = "Hey";
auto c1 = Curry(Abc, str);
std::cerr << "str: " << str << std::endl;
c1(1, 2);
auto c2 = Curry(std::move(c1), 3);
c2(4);
auto c3 = Curry(c2, 5);
c3();
}
Output:
str:
Hey12
Hey34
Hey35
If you use long chains of currying then std::shared_ptr
optimization can be used to avoid copying all previous curried parameters to each new carried function.
template <typename TFunc>
class SharedFunc
{
public:
struct Tag{}; // For avoiding shadowing copy/move constructors with the
// templated constructor below which accepts any parameters.
template <typename... TArgs>
SharedFunc(Tag, TArgs &&...args)
: p_func( std::make_shared<TFunc>(std::forward<TArgs>(args)...) )
{}
template <typename... TArgs>
auto operator()(TArgs &&...args) const
-> decltype( (*p_func)(std::forward<TArgs>(args)...) )
{ return (*p_func)(std::forward<TArgs>(args)...); }
private:
std::shared_ptr<TFunc> p_func;
};
template <typename TFunc, typename TArg>
SharedFunc<
CurryT<std::decay_t<TFunc>, std::remove_cv_t<TArg>>
>
CurryShared(TFunc &&func, TArg &&arg)
{
return { {}, std::forward<TFunc>(func), std::forward<TArg>(arg) };
}
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