Reputation: 1509
Paraphrasing here, but this is the problem
xt::pyarray< std::complex<double> > output;
output = 0; // fails to compile
output = double(0); // also fails to compile
output = complex<double>(0); // succeeds
and yet this is fine
std::complex<double> foo;
foo = double(0);
The problem is I'm writing a function which accepts arbitrary xtensor array, eg.
template<typename xtarray_t>
void my_function(xtarray_t &output, const xtarray_t &input) {
output = 0;
}
so in general this
output = complex<double>(0);
would fail. I've seen this, but am not sure if this was implemented, or how to use it, couldn't find the documentation. In general though, I think it should still work with std::complex.
thanks for any help!
compiler output:
xtensor-python/include/xtensor-python/pyarray.hpp:360:20: note: candidate function not viable: no known conversion from 'double' to 'const xt::pyarray<std::__1::complex<double>, xt::layout_type::dynamic>::self_type' (aka 'const pyarray<std::__1::complex<double>, (xt::layout_type)0>') for 1st argument
self_type& operator=(const self_type& rhs);
xtensor-python/include/xtensor-python/pyarray.hpp:363:20: note: candidate function not viable: no known conversion from 'double' to 'xt::pyarray<std::__1::complex<double>, xt::layout_type::dynamic>::self_type' (aka 'pyarray<std::__1::complex<double>, (xt::layout_type)0>') for 1st argument
self_type& operator=(self_type&& e) = default;
xtensor-python/include/xtensor-python/pyarray.hpp:369:20: note: candidate template ignored: could not match 'xexpression<type-parameter-0-0>' against 'double'
self_type& operator=(const xexpression<E>& e);
Upvotes: 1
Views: 284
Reputation: 1509
Answer is to do this
using value_t = typename xtarray_t::value_type;
output = value_t(0);
Upvotes: 1