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| Direktori : /usr/lib/python3/dist-packages/pythran/pythonic/numpy/ |
| Current File : //usr/lib/python3/dist-packages/pythran/pythonic/numpy/argsort.hpp |
#ifndef PYTHONIC_NUMPY_ARGSORT_HPP
#define PYTHONIC_NUMPY_ARGSORT_HPP
#include "pythonic/include/numpy/argsort.hpp"
#include "pythonic/utils/functor.hpp"
#include "pythonic/utils/pdqsort.hpp"
#include "pythonic/types/ndarray.hpp"
PYTHONIC_NS_BEGIN
namespace numpy
{
template <class T, class pS>
types::ndarray<long, pS> argsort(types::ndarray<T, pS> const &a)
{
constexpr auto N = std::tuple_size<pS>::value;
size_t last_axis = a.template shape<N - 1>();
size_t n = a.flat_size();
types::ndarray<long, pS> indices(a._shape, builtins::None);
for (long j = 0, *iter_indices = indices.buffer,
*end_indices = indices.buffer + n;
iter_indices != end_indices;
iter_indices += last_axis, j += last_axis) {
// fill with the original indices
std::iota(iter_indices, iter_indices + last_axis, 0L);
// sort the index using the value from a
pdqsort(iter_indices, iter_indices + last_axis,
[&a, j](long i1, long i2) {
return *(a.fbegin() + j + i1) < *(a.fbegin() + j + i2);
});
}
return indices;
}
NUMPY_EXPR_TO_NDARRAY0_IMPL(argsort);
}
PYTHONIC_NS_END
#endif