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GeezerVison is showing github.com — xtensor-python/include/xtensor-python/pyvectorize.hpp at master · yssource/xtensor-python

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/***************************************************************************
* Copyright (c) Wolf Vollprecht, Johan Mabille and Sylvain Corlay *
* Copyright (c) QuantStack *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
#ifndef PY_VECTORIZE_HPP
#define PY_VECTORIZE_HPP
#include <type_traits>
#include "pyarray.hpp"
#include "xtensor/xvectorize.hpp"
namespace xt
{
template <class Func, class R, class... Args>
struct pyvectorizer
{
xvectorizer<Func, R> m_vectorizer;
template <class F, class = std::enable_if_t<!std::is_same<std::decay_t<F>, pyvectorizer>::value>>
pyvectorizer(F&& func)
: m_vectorizer(std::forward<F>(func))
{
}
inline pyarray<R> operator()(const pyarray<Args>&... args) const
{
pyarray<R> res = m_vectorizer(args...);
return res;
}
};
/**
* @brief Create numpy universal function from scalar function.
*/
template <class R, class... Args>
inline pyvectorizer<R (*)(Args...), R, Args...> pyvectorize(R (*f)(Args...))
{
return pyvectorizer<R (*)(Args...), R, Args...>(f);
}
/// @cond DOXYGEN_INCLUDE_OVERLOADS
template <class F, class R, class... Args>
inline pyvectorizer<F, R, Args...> pyvectorize(F&& f, R (*)(Args...))
{
return pyvectorizer<F, R, Args...>(std::forward<F>(f));
}
template <class F>
inline auto pyvectorize(F&& f) -> decltype(pyvectorize(std::forward<F>(f), (detail::get_function_type<F>*)nullptr))
{
return pyvectorize(std::forward<F>(f), (detail::get_function_type<F>*)nullptr);
}
/// @endcond
}
#endif
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