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dft_tools/test/triqs/statistics/observable.cpp
tayral 87dc9aeaa5 Add statistic tools
- binning, jackknife, autocorrelation, observable.
- DRAFT only : in development, debug. Doc to be written.
2014-02-12 09:41:07 +01:00

65 lines
1.5 KiB
C++

#include <triqs/arrays.hpp>
#include <triqs/statistics.hpp>
#include <iostream>
using triqs::statistics::observable;
using namespace triqs::arrays;
template <typename T>
std::ostream &operator<<(std::ostream &out, std::vector<T> const &v) {
for (auto const &x : v)
out << x << " ";
return out;
}
int main() {
try {
{
auto A = observable<double>{};
for (int i = 0; i < 1000; ++i)
A << 6;
std::cout << average_and_error(A) << std::endl;
}
{
auto A = observable<array<double, 2> >{};
for (int i = 0; i < 1000; ++i)
A << array<double, 2>{ { i, 2 * i }, { 3 * i, 4 * i } };
for (int i = 0; i < 1000; ++i)
A << 2 * array<double, 2>{ { i, 2 * i }, { 3 * i, 4 * i } };
std::cout << average(A) << std::endl;
std::cout << average_and_error(A) << std::endl;
}
{
observable<double> A, B;
for (int i = 0; i < 1000; ++i) {
A << i;
B << 5;
}
// operations
auto ab = A / B;
//auto ab_j = make_jackknife(A) / make_jackknife(B);
double r = eval(ab, 1);
std::cout << "eval A/B in 1 " << r << std::endl;
r = eval(cos(A), 1);
std::cout << r << " == " << std::cos(1) << std::endl;
std::cout << "<A/B> = "<< average(A / B) << std::endl;
std::cout << average_and_error(A / B) << std::endl;
std::cout << average_and_error(cos(A)) << std::endl;
std::cout << average_and_error(cos(A) / B) << std::endl;
}
}
TRIQS_CATCH_AND_ABORT;
}