Re: std::generate and Function Adaptors

From:
"Victor Bazarov" <v.Abazarov@comAcast.net>
Newsgroups:
comp.lang.c++
Date:
Wed, 27 Jun 2007 17:57:20 -0400
Message-ID:
<f5umg2$d3$1@news.datemas.de>
Bill Woessner wrote:

I'm trying to replace a loop with a call to std::generate and I'm
about at wits end. Here's the working code:

std::vector<double>::iterator it;
std::vector<double> data(100);
RandomGenerator<double> g;

for(it = data.begin(); it != data.end(); ++it)
{
 *it = g.GetGaussian();
}

This works fine. So I thought I could use std::generate to accomplish
the same thing. I've tried lots of combinations, but this is the one
I thought most likely to work:

std::generate(data.begin(), data.end(),
std::bind1st(std::mem_fun(&RandomGenerator<double>::GetGaussian),
&g));

I thought this should work because GetGaussian effectively has one
parameter, namely the object it's being invoked on. However, when I
try to compile this, I get a slew of errors about first_argument_type
and second_argument_type not being defined.

Any thoughts?


'binder1st' inherits from 'unary_function' accepting the second argument
of the function it binds. Since in your case the second argument doesn't
exist (it's 'void'), 'mem_fun' does not provide it, so it becomes missing
AFA 'binder1st' is concerned...

You would be better off using advanced binders from Boost, or providing
a simple operator() instead of 'GetGaussian' (or wrapping 'GetGaussian'
yourself).

    template<class T> struct RandomGenerator {
        T GetGaussian() const { return 42.; }
        // other methods
    };

    template<class T> struct GaussianWrapper_t {
        RandomGenerator<T> g;
        GaussianWrapper_t(RandomGenerator<T> const& g) : g(g) {}
        T operator()() const {
            return g.GetGaussian();
        }
    };

    template<class T>
    GaussianWrapper_t<T> GaussianWrapper(RandomGenerator<T> const& g)
    {
        return GaussianWrapper_t<T>(g);
    }

    int main()
    {
        std::vector<double>::iterator it;
        std::vector<double> data(100);
        RandomGenerator<double> g;
        std::generate(data.begin(), data.end(), GaussianWrapper(g));
    }

V
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