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#ifndef PYTHONIC_INCLUDE_NUMPY_NDARRAY_RESHAPE_HPP #define PYTHONIC_INCLUDE_NUMPY_NDARRAY_RESHAPE_HPP #include "pythonic/include/utils/functor.hpp" #include "pythonic/include/utils/numpy_conversion.hpp" #include "pythonic/include/types/ndarray.hpp" PYTHONIC_NS_BEGIN namespace numpy { namespace ndarray { template <class T, class pS, class NpS> typename std::enable_if<!std::is_integral<NpS>::value, types::ndarray<T, NpS>>::type reshape(types::ndarray<T, pS> const &expr, NpS const &new_shape); template <class T, class pS, class NpS> typename std::enable_if<std::is_integral<NpS>::value, types::ndarray<T, types::pshape<long>>>::type reshape(types::ndarray<T, pS> const &expr, NpS const &new_shape); template <class T, class pS, class S0, class S1, class... S> auto reshape(types::ndarray<T, pS> const &expr, S0 i0, S1 i1, S const &... indices) -> decltype(reshape(expr, types::pshape<S0, S1, S...>{i0, i1, indices...})); NUMPY_EXPR_TO_NDARRAY0_DECL(reshape); DEFINE_FUNCTOR(pythonic::numpy::ndarray, reshape); } } PYTHONIC_NS_END #endif