Hash specialization for table of function pointer - c++

Updates in bold
I am writing a hash function for a table of function pointers with the limitation that the structure of the function pointers and function table cannot be modified (i.e. they have been published to third-parties). Based on Can std::hash be used to hash function pointers?, std::hash can be used for function pointers. Adopting that, it yields the following solution.
The tedious part about this solution is that every time we add new APIs to FuncPointers struct, we'd have to modify the hash specialization to add the corresponding change (i.e. hashFunc(hashedValue, pFuncs->func3) ).
I am wondering if there's a better way to implement this hashing of function pointers so continuous modification to the hash specialization can be avoided?
typedef void (*func_type1) (int);
typedef void (*func_type2) (double);
typedef struct FuncPointers
{
func_type1 func1;
func_type2 func2;
...
} FuncPointers;
template <typename T> void hashFunc (size_t & HashedValue, T funcPointer)
{
std::hash<T> hash;
HashedValue ^= hash(funcPointer); // the XOR operator is randomly picked
}
namespace std
{
template<> struct hash<FuncPointers>
{
size_t operator()(FuncPointers *pFuncs)
{
size_t hashedValue = 0;
hashFunc(hashedValue, pFuncs->func1);
hashFunc(hashedValue, pFuncs->func2);
...
return hashedValue;
}
};
}

Start with this: https://stackoverflow.com/a/7115547/1774667
It provides a hash_tuple::hash<Tuple> that is a valid decent quality hasher (with combining and recursion support!) for a std::tuple.
Next, change FuncPointers as follows:
struct FuncPointers:std::tuple<func_type1, func_type2 /*, ...*/> {
// optional:
func_type1 func1() const { return std::get<0>(*this); }
func_type1& func1() { return std::get<0>(*this); }
//...
};
namespace std {
template<>
struct hash<FuncPointers> {
template<typename... Ts>
std::size_t operator()( std::tuple<Ts...> const& funcs ) const {
return hash_tuple::hash<std::tuple<Ts...>>{}(funcs);
}
};
}
which redirects your std::hash<FuncPointers> to invoke hash_tuple::hash<std::tuple<...>> on the parent of FuncPointers. If you do not want to inherit from std::tuple, changing it to a has-a instead of an is-a relationship should be easy.
The optional func() accessors give you closer to the old interface (just requires a () added), but also adds boilerplate.
An alternative would be:
template<unsigned N>
auto func() const->decltype( std::get<N>(*this) ){ return std::get<N>(*this); }
template<unsigned N>
auto& func()->decltype( std::get<N>(*this) ){ return std::get<N>(*this); }
which changes funcPointers.func1 to funcPointers.func<1>(), but gets rid of tonnes of boilerplate when you add a new func, and stays pretty similar to the old interface of funcPointers.
If there is not much code that is using the old interface, using std::get<N>() makes some sense.
If your names are more descriptive than func1 and you only used that for the example, an enumeration of the function names can be used with std::get or func<X> above. If you go with func<X> you can even make it typesafe (force the use of the named functions).

You'd be better off making your FuncPointers a std::tuple<func_type1, func_type2>. Then see this answer on hashing.
BTW, typedef struct FuncPointers { } FuncPointers is a C-ism which has never been necessary in C++.

Related

Overridable struct of params

I'm trying to find the most optimal way of doing the following. I have a big hierarchical structure of heterogeneous parameters like this (just as an example)
struct ServiceParams {
struct FilterParams {
bool remove_odds;
bool remove_primes;
}
size_t length;
std::optional<float> threshold;
FilterParams filter_params;
}
The service which uses these parameters fills the values from a config file while starting, and then the service allows a user to provide their own parameters via request:
class Service {
ServiceParams default_params;
bool HandleRequest(Data data, std::optional<ServiceParams> user_params) {
return DoSomeStuff(data, user_params.value_or(default_params))
}
}
So the question is: what is the best way of allowing user to specify only some part of user_params and use other params stored in default_params.
What I did consider so far:
Dynamic structure like std::map<std::string, std::any>
I could use std::map<std::string, std::any> for parameters and just loop (recursively) through user provided key-value store and override all the parameters which were specified.
The main drawback is: hard to read and understand the code and static code analysers wouldn't show me the places where a certain parameter is used. And I need to provide getters for each of the parameters.
Make all the params to be std::optional
struct OptionalServiceParams {
struct OptionalFilterParams {
std::optional<bool> remove_odds;
std::optional<bool> remove_primes;
}
std::optional<size_t> length;
std::optional<std::optional<float>> threshold;
std::optional<OptionalFilterParams> filter_params;
}
Drawback: but I don't want the inside implementations be bothered by these std::optional-s. It's not their job to extract contained values all the time.
Use both: the current and with std::optional-s
I can create the above optional structure for user's requests and user the current params structure for the inside implementation.
Drawback: I need to override all the parameters manually one by one
auto params = default_params;
if (user_params.length.has_value())
params.length = user_params.length.value();
if (user_params.threshold.has_value())
params.threshold = user_params.threshold.value();
if (user_params.filter_params.has_value()) {
if (user_params.filter_params->remove_odds.has_value())
params.filter_params.remove_odds = user_params.filter_params->remove_odds.value();
if (user_params.filter_params->remove_primes.has_value())
params.filter_params.remove_primes = user_params.filter_params->remove_primes.value();
}
It's easy to make a bug and it's hard to maintain and scale. And of course it's a lot of code duplication.
Make the above two structures as one but template
We could make it as (truncated, the question becomes too long)
template <template <typename ValueType>, typename...> typename Container = std::type_identity_t>
struct ServiceParams {
Container<size_t> length;
Container<std::optional<float>> threshold;
}
and use it like this
ServiceParams<> default_params;
ServiceParams<std::optional> user_params;
Now I can use default_params just as is (inside implementation) and there is no code duplication.
Drawback: it doesn't solve the problem with manual overriding all the params. And in contrast with the previous approach it's almost impossible to support designated initialisers here.
Resume
The other languages (e.g. python) provides reflection and I can treat a structure as a key-value store without a need of making getters. Plus static code analysers shows me the places where a certain parameter is used.
I'm 100% sure some classic approach exists but I failed to find it online.
How about something like this: Define tag types that allow overloading (when the type is known at compile time) or variants if it is not.
#include <variant>
#include <initializer_list>
namespace params {
struct filter_params_remove_odd{ bool value; };
struct filter_params_remove_primes{ bool value; };
struct length{ size_t value; };
} /* namespace params */
struct ServiceParams {
struct FilterParams {
bool remove_odds;
bool remove_primes;
};
using OverrideVariant = std::variant<
params::filter_params_remove_odd,
params::filter_params_remove_primes,
params::length>;
size_t length;
std::optional<float> threshold;
FilterParams filter_params;
void apply(params::filter_params_remove_odd param) noexcept
{ filter_params.remove_odds = param.value; }
void apply(params::filter_params_remove_primes param) noexcept
{ filter_params.remove_primes = param.value; }
void apply(params::length param) noexcept
{ length = param.value; }
void apply(const OverrideVariant& param) noexcept
{
std::visit([this]<class Param>(const Param& param) mutable {
this->apply(param); },
param);
}
void apply_all(std::initializer_list<OverrideVariant> params) noexcept
{
for(const OverrideVariant& param: params)
apply(param);
}
template<class... Param>
void apply_all(Param&&... params) noexcept
{ (apply(std::forward<Param>(params)), ...); }
};
bool HandleRequest(ServiceParams params,
std::initializer_list<ServiceParams::OverrideVariant> user_params)
{
params.apply_all(user_params);
return DoSomething(params);
}
template<class... Param>
bool HandleRequest(ServiceParams params, Param&&... user_params)
{
params.apply_all(std::forward<Param>(user_params)...);
return DoSomething(params);
}
void MyRequest(const ServiceParams& params)
{
// use initializer list overload
HandleRequest(params, {
params::filter_params_remove_odd{true},
params::length{12},
});
}
void MyRequest2(const ServiceParams& params)
{
// use parameter pack overload
HandleRequest(params,
params::filter_params_remove_odd{true},
params::length{12});
}
Alternatively, an enum class for the parameter and a variant or std::any for the value are also a good combination.
One downside of the variant approach is that you lose ABI compatibility whenever you add new parameters. This may or may not be an issue depending on your use case and coding style. In that case, an enum class + any pair per parameter would be a better option. Then of course you have to deal with mismatched types at runtime.

Can static polymorphism (templates) be used despite type erasure?

Having returned relatively recently to C++ after decades of Java, I am currently struggling with a template-based approach to data conversion for instances where type erasure has been applied. Please bear with me, my nomenclature may still be off for C++-natives.
This is what I am trying to achieve:
Implement dynamic variables which are able to hold essentially any value type
Access the content of those variables using various other representations (string, ints, binary, ...)
Be able to hold variable instances in containers, independent of their value type
Convert between variable value and representation using conversion functions
Be able to introduce new representations just by providing new conversion functions
Constraints: use only C++-11 features if possible, no use of libraries like boost::any etc.
A rough sketch of this might look like this:
#include <iostream>
#include <vector>
void convert(const std::string &f, std::string &t) { t = f; }
void convert(const int &f, std::string &t) { t = std::to_string(f); }
void convert(const std::string &f, int &t) { t = std::stoi(f); }
void convert(const int &f, int &t) { t = f; }
struct Variable {
virtual void get(int &i) = 0;
virtual void get(std::string &s) = 0;
};
template <typename T> struct VariableImpl : Variable {
T value;
VariableImpl(const T &v) : value{v} {};
void get(int &i) { convert(value, i); };
void get(std::string &s) { convert(value, s); };
};
int main() {
VariableImpl<int> v1{42};
VariableImpl<std::string> v2{"1234"};
std::vector<Variable *> vars{&v1, &v2};
for (auto &v : vars) {
int i;
v->get(i);
std::string s;
v->get(s);
std::cout << "int representation: " << i <<
", string representation: " << s << std::endl;
}
return 0;
}
The code does what it is supposed to do, but obvoiusly I would like to get rid of Variable::get(int/std::string/...) and instead template them, because otherwise every new representation requires a definition and an implementation with the latter being exactly the same as all the others.
I've played with various approaches so far, like virtual templated, methods, applying the CRDT with intermediate type, various forms of wrappers, yet in all of them I get bitten by the erased value type of VariableImpl. On one hand, I think there might not be a solution, because after type erasure, the compiler cannot possibly know what templated getters and converter calls it must generate. On the other hand I think i might be missing something really essential here and there should be a solution despite the constraints mentioned above.
This is a classical double dispatch problem. The usual solution to this problem is to have some kind of dispatcher class with multiple implementations of the function you want to dispatch (get in your case). This is called the visitor pattern. The well-known drawback of it is the dependency cycle it creates (each class in the hierarchy depends on all other classes in the hierarchy). Thus there's a need to revisit it each time a new type is added. No amount of template wizardry eliminates it.
You don't have a specialised Visitor class, your Variable serves as a Visitor of itself, but this is a minor detail.
Since you don't like this solution, there is another one. It uses a registry of functions populated at run time and keyed on type identification of their arguments. This is sometimes called "Acyclic Visitor".
Here's a half-baked C++11-friendly implementation for your case.
#include <map>
#include <vector>
#include <typeinfo>
#include <typeindex>
#include <utility>
#include <functional>
#include <string>
#include <stdexcept>
struct Variable
{
virtual void convertValue(Variable& to) const = 0;
virtual ~Variable() {};
virtual std::type_index getTypeIdx() const = 0;
template <typename K> K get() const;
static std::map<std::pair<std::type_index, std::type_index>,
std::function<void(const Variable&, Variable&)>>
conversionMap;
template <typename T, typename K>
static void registerConversion(K (*fn)(const T&));
};
template <typename T>
struct VariableImpl : Variable
{
T value;
VariableImpl(const T &v) : value{v} {};
VariableImpl() : value{} {}; // this is needed for a declaration of
// `VariableImpl<K> below
// It can be avoided but it is
// a story for another day
void convertValue(Variable& to) const override
{
auto typeIdxFrom = getTypeIdx();
auto typeIdxTo = to.getTypeIdx();
if (typeIdxFrom == typeIdxTo) // no conversion needed
{
dynamic_cast<VariableImpl<T>&>(to).value = value;
}
else
{
auto fcnIter = conversionMap.find({getTypeIdx(), to.getTypeIdx()});
if (fcnIter != conversionMap.end())
{
fcnIter->second(*this, to);
}
else
throw std::logic_error("no conversion");
}
}
std::type_index getTypeIdx() const override
{
return std::type_index(typeid(T));
}
};
template <typename K> K Variable::get() const
{
VariableImpl<K> vk;
convertValue(vk);
return vk.value;
}
template <typename T, typename K>
void Variable::registerConversion(K (*fn)(const T&))
{
// add a mutex if you ever spread this over multiple threads
conversionMap[{std::type_index(typeid(T)), std::type_index(typeid(K))}] =
[fn](const Variable& from, Variable& to) {
dynamic_cast<VariableImpl<K>&>(to).value =
fn(dynamic_cast<const VariableImpl<T>&>(from).value);
};
}
Now of course you need to call registerConversion e.g. at the beginning of main and pass it each conversion function.
Variable::registerConversion(int_to_string);
Variable::registerConversion(string_to_int);
This is not ideal, but hardly anything is ever ideal.
Having said all that, I would recommend you revisit your design. Do you really need all these conversions? Why not pick one representation and stick with it?
Implement dynamic variables which are able to hold essentially any value type
Be able to hold variable instances in containers, independent of their value type
These two requirements are quite challenging on its own. The class templates don't really encourage inheritance, and you already did the right thing to hold what you asked for: introduced a common base class for the class template, which you can later refer to in order to store pointers of the said type in a collection.
Access the content of those variables using various other representations (string, ints, binary, ...)
Be able to introduce new representations just by providing new conversion functions
This is where it breaks. Function templates assume common implementation for different types, while inheritance assumes different implementation for the same types.
You goal is to introduce different implementation for different types, and in order to make your requirements viable you have to switch to one of those two options instead (or put up with a number of functions for each case which you have already introduced yourself)
Edit:
One of the strategies you may employ to enforce inheritance approach is generalisation of the arguments to the extent where they can be used interchangeably by the abstract interface. E.g. you may wrap the converting arguments inside of a union like this:
struct Variable {
struct converter_type {
enum { INT, STRING } type;
union {
int* m_int;
std::string* m_string;
};
};
virtual void get(converter_type& var) = 0;
virtual ~Variable() = default;
};
And then take whatever part of it inside of the implementation:
void get(converter_type& var) override {
switch (var.type) {
case converter_type::INT:
convert(value, var.m_int);
break;
case converter_type::STRING:
convert(value, var.m_string);
break;
}
}
To be honest I don't think this is a less verbose approach compared to just having a number of functions for each type combination, but i think you got the idea that you can just wrap your arguments somehow to cement the abstract class interface.
Implement std::any. It is similar to boost::any.
Create a conversion dispatcher based off typeids. Store your any alongside the conversion dispatcher.
"new conversion functions" have to be passed to the dispatcher.
When asked to convert to a type, pass that typeid to the dispatcher.
So we start with these 3 types:
using any = std::any; // implement this
using converter = std::function<any(any const&)>;
using convert_table = std::map<std::type_index, converter>;
using convert_lookup = convert_table(*)();
template<class T>
convert_table& lookup_convert_table() {
static convert_table t;
return t;
}
struct converter_any: any {
template<class T,
typename std::enable_if<
!std::is_same<typename std::decay<T>::type, converter_any>::value, bool
>::type = true
>
converter_any( T&& t ):
any(std::forward<T>(t)),
table(&lookup_convert_table<typename std::decay<T>::type>())
{}
converter_any(converter_any const&)=default;
converter_any(converter_any &&)=default;
converter_any& operator=(converter_any const&)=default;
converter_any& operator=(converter_any&&)=default;
~converter_any()=default;
converter_any()=default;
convert_table const* table = nullptr;
template<class U>
U convert_to() const {
if (!table)
throw 1; // make a better exception than int
auto it = table->find(typeid(U));
if (it == table->end())
throw 2; // make a better exception than int
any const& self = *this;
return any_cast<U>((it->second)(self));
}
};
template<class Dest, class Src>
bool add_converter_to_table( Dest(*f)(Src const&) ) {
lookup_convert_table<Src>()[typeid(Dest)] = [f](any const& s)->any {
Src src = std::any_cast<Src>(s);
auto r = f(src);
return r;
};
return true;
}
now your code looks like:
const bool bStringRegistered =
add_converter_to_table(+[](std::string const& f)->std::string{ return f; })
&& add_converter_to_table(+[](std::string const& f)->int{ return std::stoi(f); });
const bool bIntRegistered =
add_converter_to_table(+[](int const& i)->int{ return i; })
&& add_converter_to_table(+[](int const& i)->std::string{ return std::to_string(i); });
int main() {
converter_any v1{42};
converter_any v2{std::string("1234")};
std::vector<converter_any> vars{v1, v2}; // copies!
for (auto &v : vars) {
int i = v.convert_to<int>();
std::string s = v.convert_to<std::string>();
std::cout << "int representation: " << i <<
", string representation: " << s << std::endl;
}
}
live example.
...
Ok, what did I do?
I used any to be a smart void* that can store anything. Rewriting this is a bad idea, use someone else's implementation.
Then, I augmented it with a manually written virtual function table. Which table I add is determined by the constructor of my converter_any; here, I know the type stored, so I can store the right table.
Typically when using this technique, I'd know what functions are in there. For your implementation we do not; so the table is a map from the type id of the destination, to a conversion function.
The conversion function takes anys and returns anys -- again, don't repeat this work. And now it has a fixed signature.
To add support for a type, you independently register conversion functions. Here, my conversion function registration helper deduces the from type (to determine which table to register it in) and the destination type (to determine which entry in the table), and then automatically writes the any boxing/unboxing code for you.
...
At a higher level, what I'm doing is writing my own type erasure and object model. C++ has enough power that you can write your own object models, and when you want features that the default object model doesn't solve, well, roll a new object model.
Second, I'm using value types. A Java programmer isn't used to value types having polymorphic behavior, but much of C++ works much better if you write your code using value types.
So my converter_any is a polymorphic value type. You can store copies of them in vectors etc, and it just works.

Macro alternative for C++ code generation

My settings module has some redundant code:
#include <QSettings>
class MySettings
{
public:
// param1
void setParam1(QString param1) { _settings.setValue("param1", param1); }
string param1() { return _settings.value("param1").toString(); }
// param2
void setParam2(int param2) { _settings.setValue("param2", param2); }
int param2() { _settings.value("param2").toInt(); }
// param3
void setParam3(int param3) { _settings.setValue("param3", param3); }
int param3() { _settings.value("param3").toInt(); }
private:
QSettings _settings;
}
I managed to reduce the amount of code to write by using a macro. Here is an example for the QString parameter type:
#define INTSETTING(setter, getter) \
void set##setter(QString getter) { settings.setValue(#getter, getter);} \
QString getter() {return settings.value(#getter).toString();}
Since I'm using C++, I know that macro usage is bad. I'm looking for a cleaner alternative.
I gave a Qt example (QString) but it is a more general question.
Edit:
The macros make the definition of the above class much simpler:
class MySettings
{
public:
STRINGSETTING(Param1, param1)
INTSETTING(Param2, param2)
INTSETTING(Param3, param3)
STRINGSETTING(DefaultTitle, defaultTitle)
INTSETTING(MaxDocCount, maxDocCount)
private:
QSettings _settings;
}
You can either answer this in a religious fashion, or you can go back to the old principle: if it makes your code more readable, do it.
There are a lot of people who answer this in a religious way, they just hate the preprocessor and everything that's to do with it, and ban its use from their code.
On the other hand, there are people who routinely define macros to do repetitive task, I have done so on several occasions, most frequently just defining a macro for the use within a single function (used much in the way you can define subfunctions in GNU-C).
I think, the way people think about it is quite similar to the way people think about the goto statement: Most deamonize its use, others say it has its positive uses and should not be viewed as evil in itself. You need to decide this for yourself.
Here is one way that does not use macros:
class MySettings
{
public:
template <size_t N>
void setParam(QString param) { _settings.setValue(names[N], param); }
template <size_t N, typename T>
T param() { return _settings.value(names[N]).toString(); }
private:
QSettings _settings;
const char* names[3] = { "param1", "param2", "param3" };
}
You change the syntax a little so say e.g. settings.setParam<1>("string") and settings.param<1, string>() but in any case names param1, param2 etc were not so informative.
The only inconvenience is that the caller needs to specify the return type of param() apart from the parameter number. To get rid of this, you can specify all parameter types within MySettings, like this:
class MySettings
{
using types = std::tuple<string, int, int>;
public:
template<size_t N>
void setParam(QString param) { _settings.setValue(names[N], param); }
template<size_t N>
typename std::tuple_element<N, types>::type
param() { return _settings.value(names[N]).toString(); }
private:
QSettings _settings;
const char* names[3] = { "param1", "param2", "param3" };
}
You could of course further generalize this class to be used as a base for other settings classes. Within the base, the only things that need to be customized are members types and names.
However, keep in mind that if parameter names are informative indeed unlike your example, e.g. setTitle, setColor etc. then most probably there is no way to avoid macros. In this case, I prefer a macro that generates an entire struct rather than a piece of code within another class, hence probably polluting its scope. So there could be a struct for each individual parameter, generated by a macro given the parameter name. The settings class would then inherit all those individual structs.
EDIT
I "forgot" generalizing toString() in param() (thanks #Joker_vD). One way is this:
template<size_t N>
typename std::tuple_element<N, types>::type
param() {
using T = typename std::tuple_element<N, types>::type;
return get_value(type<T>(), _settings.value(names[N]));
}
where get_value<T>() is a helper function that you need to define and overload for the types supported by QSettings, calling the appropriate conversion member function for each type, for instance
template<typename V>
string get_value(type<string>, const V& val) { return val.toString(); }
template<typename V>
int get_value(type<int>, const V& val) { return val.toInt(); }
and type is just a helper struct:
template<typename T>
struct type { };
If QSettings itself was designed with templates in mind, you wouldn't need this. But you probably wouldn't need a wrapper in the first place.
Hiding members is good. But when you let the user edit/see them, you should impose some constraints: in each setter there should be a check before assigning the element a new value (which might even make your application crash).
Otherwise, there is little difference if the data was public.

How to implement a lambda function for a sort algorithm involving object members, indirection, and casting?

I'm working on some code and I have a section where I do a one off sort function. To implement it I decided it was easiest to overload the operator< function. What I would prefer to do is move the implementation of the sort closer to the actual call by using some sort of boost::bind, boost::phoenix, lambda or some other type of implementation. Unfortunately I don't have access to new C++11 functionality. Below is some example code.
// In a header
struct foo
{
char * a;
char * c_str() { return a; }
}
// In a header
struct bar
{
foo * X;
bar(foo * _X) : X(_X) {}
bool operator < (const bar& rhs) const
{
return std::string(X->c_str()) < std::string(rhs.X->c_str());
}
};
struct bars : public std::vector<bar> { ... some stuff };
// Some other header
bars Bs;
// A cpp file
... other stuff happens that fills the Xs vector with objects
...::Function()
{
// Current use and it works fine
std::sort(Bs.begin(), Bs.end())
// Would like something that accomplishes this:
// std::sort(Bs.begin(), Bs.end(),
// std::string(lhs.X->c_str()) < std::string(rhs.X->c_str()))
// A non-working example of what I'm trying to do
// std::sort(Xs.begin(), Xs.end(),
// std::string((bind(bar::X->c_str(), _1)) <
// std::string((bind(bar::X->c_str(), _2)) )
}
I get lost when trying to figure out how to access the member pointers, member function and then cast the result all within a boost::bind function.
Thank you for your help.
I'm sure you can twist your way out of this using ample helpings of
Boost Phoenix bind and lambda
Boost Bind protect
However, I've learned to avoid these situations. Edit In fact, see below for one such contraption. I find this very very error prone and hard to reason about.
What you're seeing is, in essence, a violation of the Law Of Demeter. If you "just" wrote the code (not in a lambda), already it would be handling too many tasks.
So the first thing I'd do is rethink the class design.
The second thing I'd do is /extract/ different responsibilities from your comparator. Notice, that the comparator does three things:
access the c_str() of the X in lhs
access the c_str() of the X in rhs
compare the two
The first two steps are clear candidates for extraction. Let's write the generic comparer that remains first:
template <typename F>
struct compare_by_impl {
compare_by_impl(F f = F{}) : _f(std::move(f)) {}
template <typename T, typename U>
bool operator()(T const& a, U const& b) const {
return _f(a) < _f(b);
}
private:
F _f;
};
As always, it's nice to have factory function that will deduce the accessor type (in case you can get away with just using Phoenix there, it will save you specifying the (arcane) typenames involved in the expression templates):
template <typename Accessor>
compare_by_impl<Accessor> comparer_by(Accessor&& f) {
return compare_by_impl<Accessor>(std::forward<Accessor>(f));
}
Now you could already move the implementation with your sort call:
void Function()
{
struct accessX_c_str {
std::string operator()(bar const& b) const {
return b.X->c_str();
}
};
std::sort(Bs.begin(), Bs.end(), comparer_by(accessX_c_str()));
}
I'd personally leave it there.
Here's some more twisted contraptions:
// to avoid `comparer_by`
std::sort(Bs.begin(), Bs.end(), phx::bind(accessX_c_str(), arg1) < phx::bind(accessX_c_str(), arg2));
// to avoid any helper types (!?!?!? untested!)
std::sort(Bs.begin(), Bs.end(),
phx::construct<std::string>(phx::bind(&foo::c_str, phx::lambda [ phx::bind(&bar::X, arg1) ](arg1)))
< phx::construct<std::string>(phx::bind(&foo::c_str, phx::lambda [ phx::bind(&bar::X, arg1) ](arg2)))
);

Generic container for multiple data types in C++

Using C++, I'm trying to create a generic container class to handle multiple data types. It's a common problem with a variety of solutions, but I've found nothing as... intuitive as I've grown accustomed to in languages like Python or even VB/VBA...
So here's my scenario:
I've built a DataContainer class based on boost::any which I use to store multiple data types of multiple elements. I use a map declared as:
std::map<std::string, DataContainer* (or DataContainerBase*)>
where DataContainer is a class that encapsulates an object of the type:
std::list<boost::any>
along with convenience functions for managing / accessing the list.
However, in the end, I'm still forced to do type conversions outside the data container.
For example, if I were to store a list of int values in the map, accessing them would require:
int value = boost::any_cast<int>(map["myValue"]->get());
I'd rather the boost code be contained entirely within the data container structure, so I would only need type:
int value = map["myValue"]->get();
or, worst-case:
int value = map["myValue"]->get<int>();
Of course, I could enumerate my data types and do something like:
int value = map["myValue"]->get( TYPE_INT );
or write type-specific get() functions:
getInt(), getString(), getBool() ...
The problem with the last two options is that they are somewhat inflexible, requiring me to declare explicitly each type I wish to store in the container. The any_cast solution (which I have implemented and works) I suppose is fine, it's just... inelegant? I dunno. It seems I shouldn't need to employ the internal mechanics externally as well.
As I see it, passing the value without declaring the value type in the call to the DataContainer member function would require a void* solution (which is undesirable for obvious reasons), and using a "get()" call would require (so far as I can tell) a "virtual template" member function defined at the base class level, which, of course, isn't allowed.
As it is, I have a workable solution, and really, my use in this case is limited enough in scope that most any solutions will work well. But I am wondering if perhaps there's a more flexible way to manage a generic, multi-type data container than this.
If you want to introduce some sugar for this:
int value = boost::any_cast<int>(map["myValue"]->get());
then you might want to make the get() function to return a proxy object, defined +- like this:
struct Proxy {
boost::any& value;
Proxy(boost::any& value) : value(value) {}
template<typename T>
operator T() {
return boost::any_cast<T>(value);
}
};
Then this syntax would work:
int value = map["myValue"]->get();
// returns a proxy which gets converted by any_cast<int>
However I recommend to keep things explicit and just use that syntax:
int value = map["myValue"]->get<int>();
Here get doesn't return a proxy object with a template method, but is a template method itself (but does the same as the template conversion operator shown above).
Today I have done some source code for the purpose you want. I know that this question is so old, but maybe this little piece of code is helpful for someone. It is mainly based on boost:any.
/*
* AnyValueMap.hpp
*
* Created on: Jun 3, 2013
* Author: alvaro
*/
#ifndef ANYVALUEMAP_HPP_
#define ANYVALUEMAP_HPP_
#include <map>
#include <boost/any.hpp>
using namespace std;
template <class T>
class AnyValueMap {
public:
AnyValueMap(){}
virtual ~AnyValueMap(){}
private:
map<T, boost::any> container_;
typedef typename map<T, boost::any>::iterator map_iterator;
typedef typename map<T, boost::any>::const_iterator map_const_iterator;
public:
bool containsKey(const T key) const
{
return container_.find(key) != container_.end();
}
bool remove(const T key)
{
map_iterator it = container_.find(key);
if(it != container_.end())
{
container_.erase(it);
return true;
}
return false;
}
template <class V>
V getValue(const T key, const V defaultValue) const
{
map_const_iterator it = container_.find(key);
if(it != container_.end())
{
return boost::any_cast<V>(it->second);
}
return defaultValue;
}
template <class V>
V getValue(const T key) const
{
return boost::any_cast<V>(container_.at(key));
}
template <class V>
void setValue(const T key, const V value)
{
container_[key] = value;
}
};
#endif /* ANYVALUEMAP_HPP_ */
A simple usage example:
AnyValueMap<unsigned long> myMap;
myMap.setValue<double>(365, 1254.33);
myMap.setValue<int>(366, 55);
double storedDoubleValue = myMap.getValue<double>(365);
int storedIntValue = myMap.getValue<int>(366);