xmanipulation.hpp

/***************************************************************************
 * Copyright (c) Johan Mabille, Sylvain Corlay and Wolf Vollprecht          *
 * 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 XTENSOR_MANIPULATION_HPP
#define XTENSOR_MANIPULATION_HPP
 
#include <algorithm>
#include <utility>
 
#include <xtl/xcompare.hpp>
#include <xtl/xsequence.hpp>
 
#include "../core/xtensor_config.hpp"
#include "../generators/xbuilder.hpp"
#include "../utils/xexception.hpp"
#include "../utils/xutils.hpp"
#include "../views/xrepeat.hpp"
#include "../views/xstrided_view.hpp"
#include "xtl_concepts.hpp"
 
namespace xt
{
 
    namespace check_policy
    {
        struct none
        {
        };
 
        struct full
        {
        };
    }
 
    template <class E>
    auto transpose(E&& e) noexcept;
 
    template <class E, class S, class Tag = check_policy::none>
    auto transpose(E&& e, S&& permutation, Tag check_policy = Tag());
 
    template <class E>
    auto swapaxes(E&& e, std::ptrdiff_t axis1, std::ptrdiff_t axis2);
 
    template <layout_type L = XTENSOR_DEFAULT_TRAVERSAL, class E>
    auto ravel(E&& e);
 
    template <layout_type L = XTENSOR_DEFAULT_TRAVERSAL, class E>
    auto flatten(E&& e);
 
    template <layout_type L, class T>
    auto flatnonzero(const T& arr);
 
    template <class E>
    auto trim_zeros(E&& e, const std::string& direction = "fb");
 
    template <class E>
    auto squeeze(E&& e);
 
    template <class E, xtl::non_integral_concept S, class Tag = check_policy::none>
    auto squeeze(E&& e, S&& axis, Tag check_policy = Tag());
 
    template <class E>
    auto expand_dims(E&& e, std::size_t axis);
 
    template <std::size_t N, class E>
    auto atleast_Nd(E&& e);
 
    template <class E>
    auto atleast_1d(E&& e);
 
    template <class E>
    auto atleast_2d(E&& e);
 
    template <class E>
    auto atleast_3d(E&& e);
 
    template <class E>
    auto split(E& e, std::size_t n, std::size_t axis = 0);
 
    template <class E>
    auto hsplit(E& e, std::size_t n);
 
    template <class E>
    auto vsplit(E& e, std::size_t n);
 
    template <class E>
    auto flip(E&& e);
 
    template <class E>
    auto flip(E&& e, std::size_t axis);
 
    template <std::ptrdiff_t N = 1, class E>
    auto rot90(E&& e, const std::array<std::ptrdiff_t, 2>& axes = {0, 1});
 
    template <class E>
    auto roll(E&& e, std::ptrdiff_t shift);
 
    template <class E>
    auto roll(E&& e, std::ptrdiff_t shift, std::ptrdiff_t axis);
 
    template <class E>
    auto repeat(E&& e, std::size_t repeats, std::size_t axis);
 
    template <class E>
    auto repeat(E&& e, const std::vector<std::size_t>& repeats, std::size_t axis);
 
    template <class E>
    auto repeat(E&& e, std::vector<std::size_t>&& repeats, std::size_t axis);
 
    /****************************
     * transpose implementation *
     ****************************/
 
    namespace detail
    {
        inline layout_type transpose_layout_noexcept(layout_type l) noexcept
        {
            layout_type result = l;
            if (l == layout_type::row_major)
            {
                result = layout_type::column_major;
            }
            else if (l == layout_type::column_major)
            {
                result = layout_type::row_major;
            }
            return result;
        }
 
        inline layout_type transpose_layout(layout_type l)
        {
            if (l != layout_type::row_major && l != layout_type::column_major)
            {
                XTENSOR_THROW(transpose_error, "cannot compute transposed layout of dynamic layout");
            }
            return transpose_layout_noexcept(l);
        }
 
        template <class E, class S>
        inline auto transpose_impl(E&& e, S&& permutation, check_policy::none)
        {
            if (std::size(permutation) != e.dimension())
            {
                XTENSOR_THROW(transpose_error, "Permutation does not have the same size as shape");
            }
 
            // permute stride and shape
            using shape_type = xindex_type_t<typename std::decay_t<E>::shape_type>;
            shape_type temp_shape;
            resize_container(temp_shape, e.shape().size());
 
            using strides_type = get_strides_t<shape_type>;
            strides_type temp_strides;
            resize_container(temp_strides, e.strides().size());
 
            using size_type = typename std::decay_t<E>::size_type;
            for (std::size_t i = 0; i < e.shape().size(); ++i)
            {
                if (std::size_t(permutation[i]) >= e.dimension())
                {
                    XTENSOR_THROW(transpose_error, "Permutation contains wrong axis");
                }
                size_type perm = static_cast<size_type>(permutation[i]);
                temp_shape[i] = e.shape()[perm];
                temp_strides[i] = e.strides()[perm];
            }
 
            layout_type new_layout = layout_type::dynamic;
            if (std::is_sorted(std::begin(permutation), std::end(permutation)))
            {
                // keep old layout
                new_layout = e.layout();
            }
            else if (std::is_sorted(std::begin(permutation), std::end(permutation), std::greater<>()))
            {
                new_layout = transpose_layout_noexcept(e.layout());
            }
 
            return strided_view(
                std::forward<E>(e),
                std::move(temp_shape),
                std::move(temp_strides),
                get_offset<XTENSOR_DEFAULT_LAYOUT>(e),
                new_layout
            );
        }
 
        template <class E, class S>
        inline auto transpose_impl(E&& e, S&& permutation, check_policy::full)
        {
            // check if axis appears twice in permutation
            for (std::size_t i = 0; i < std::size(permutation); ++i)
            {
                for (std::size_t j = i + 1; j < std::size(permutation); ++j)
                {
                    if (permutation[i] == permutation[j])
                    {
                        XTENSOR_THROW(transpose_error, "Permutation contains axis more than once");
                    }
                }
            }
            return transpose_impl(std::forward<E>(e), std::forward<S>(permutation), check_policy::none());
        }
 
        template <class E, class S, class X>
        inline void compute_transposed_strides(E&& e, const S& shape, X& strides)
        {
            if constexpr (has_data_interface<std::decay_t<E>>::value)
            {
                std::copy(e.strides().crbegin(), e.strides().crend(), strides.begin());
            }
            else
            {
                // In the case where E does not have a data interface, the transposition
                // makes use of a flat storage adaptor that has layout XTENSOR_DEFAULT_TRAVERSAL
                // which should be the one inverted.
                layout_type l = transpose_layout(XTENSOR_DEFAULT_TRAVERSAL);
                compute_strides(shape, l, strides);
            }
        }
    }

    template <class E>
    inline auto transpose(E&& e) noexcept
    {
        using shape_type = xindex_type_t<typename std::decay_t<E>::shape_type>;
        shape_type shape;
        resize_container(shape, e.shape().size());
        std::copy(e.shape().crbegin(), e.shape().crend(), shape.begin());
 
        get_strides_t<shape_type> strides;
        resize_container(strides, e.shape().size());
        detail::compute_transposed_strides(e, shape, strides);
 
        layout_type new_layout = detail::transpose_layout_noexcept(e.layout());
 
        return strided_view(
            std::forward<E>(e),
            std::move(shape),
            std::move(strides),
            detail::get_offset<XTENSOR_DEFAULT_TRAVERSAL>(e),
            new_layout
        );
    }

    template <class E, class S, class Tag>
    inline auto transpose(E&& e, S&& permutation, Tag check_policy)
    {
        return detail::transpose_impl(std::forward<E>(e), std::forward<S>(permutation), check_policy);
    }

    template <class E, class I, std::size_t N, class Tag = check_policy::none>
    inline auto transpose(E&& e, const I (&permutation)[N], Tag check_policy = Tag())
    {
        return detail::transpose_impl(std::forward<E>(e), permutation, check_policy);
    }

 
    /*****************************
     *  swapaxes implementation  *
     *****************************/
 
    namespace detail
    {
        template <class S>
        inline S swapaxes_perm(std::size_t dim, std::ptrdiff_t axis1, std::ptrdiff_t axis2)
        {
            const std::size_t ax1 = normalize_axis(dim, axis1);
            const std::size_t ax2 = normalize_axis(dim, axis2);
            auto perm = xtl::make_sequence<S>(dim, 0);
            using id_t = typename S::value_type;
            std::iota(perm.begin(), perm.end(), id_t(0));
            perm[ax1] = ax2;
            perm[ax2] = ax1;
            return perm;
        }
    }

    template <class E>
    inline auto swapaxes(E&& e, std::ptrdiff_t axis1, std::ptrdiff_t axis2)
    {
        const auto dim = e.dimension();
        check_axis_in_dim(axis1, dim, "Parameter axis1");
        check_axis_in_dim(axis2, dim, "Parameter axis2");
 
        using strides_t = get_strides_t<typename std::decay_t<E>::shape_type>;
        return transpose(std::forward<E>(e), detail::swapaxes_perm<strides_t>(dim, axis1, axis2));
    }
 
    /*****************************
     *  moveaxis implementation  *
     *****************************/
 
    namespace detail
    {
        template <class S>
        inline S moveaxis_perm(std::size_t dim, std::ptrdiff_t src, std::ptrdiff_t dest)
        {
            using id_t = typename S::value_type;
 
            const std::size_t src_norm = normalize_axis(dim, src);
            const std::size_t dest_norm = normalize_axis(dim, dest);
 
            // Initializing to src_norm handles case where `dest == -1` and the loop
            // does not go check `perm_idx == dest_norm` a `dim+1`th time.
            auto perm = xtl::make_sequence<S>(dim, src_norm);
            id_t perm_idx = 0;
            for (id_t i = 0; xtl::cmp_less(i, dim); ++i)
            {
                if (xtl::cmp_equal(perm_idx, dest_norm))
                {
                    perm[perm_idx] = src_norm;
                    ++perm_idx;
                }
                if (xtl::cmp_not_equal(i, src_norm))
                {
                    perm[perm_idx] = i;
                    ++perm_idx;
                }
            }
            return perm;
        }
    }

    template <class E>
    inline auto moveaxis(E&& e, std::ptrdiff_t src, std::ptrdiff_t dest)
    {
        const auto dim = e.dimension();
        check_axis_in_dim(src, dim, "Parameter src");
        check_axis_in_dim(dest, dim, "Parameter dest");
 
        using strides_t = get_strides_t<typename std::decay_t<E>::shape_type>;
        return xt::transpose(std::forward<E>(e), detail::moveaxis_perm<strides_t>(e.dimension(), src, dest));
    }
 
    /************************************
     * ravel and flatten implementation *
     ************************************/
 
    namespace detail
    {
        template <class E, layout_type L>
        struct expression_iterator_getter
        {
            using iterator = decltype(std::declval<E>().template begin<L>());
            using const_iterator = decltype(std::declval<E>().template cbegin<L>());
 
            inline static iterator begin(E& e)
            {
                return e.template begin<L>();
            }
 
            inline static const_iterator cbegin(E& e)
            {
                return e.template cbegin<L>();
            }
 
            inline static auto size(E& e)
            {
                return e.size();
            }
        };
    }

    template <layout_type L, class E>
    inline auto ravel(E&& e)
    {
        using iterator = decltype(e.template begin<L>());
        using iterator_getter = detail::expression_iterator_getter<std::remove_reference_t<E>, L>;
        auto size = e.size();
        auto adaptor = make_xiterator_adaptor(std::forward<E>(e), iterator_getter());
        constexpr layout_type layout = std::is_pointer<iterator>::value ? L : layout_type::dynamic;
        using type = xtensor_view<decltype(adaptor), 1, layout, extension::get_expression_tag_t<E>>;
        return type(std::move(adaptor), {size});
    }

    template <layout_type L, class E>
    inline auto flatten(E&& e)
    {
        return ravel<L>(std::forward<E>(e));
    }

    template <layout_type L, class T>
    inline auto flatnonzero(const T& arr)
    {
        return nonzero(ravel<L>(arr))[0];
    }
 
    /*****************************
     * trim_zeros implementation *
     *****************************/

    template <class E>
    inline auto trim_zeros(E&& e, const std::string& direction)
    {
        XTENSOR_ASSERT_MSG(e.dimension() == 1, "Dimension for trim_zeros has to be 1.");
 
        std::ptrdiff_t begin = 0, end = static_cast<std::ptrdiff_t>(e.size());
 
        auto find_fun = [](const auto& i)
        {
            return i != 0;
        };
 
        if (direction.find("f") != std::string::npos)
        {
            begin = std::find_if(e.cbegin(), e.cend(), find_fun) - e.cbegin();
        }
 
        if (direction.find("b") != std::string::npos && begin != end)
        {
            end -= std::find_if(e.crbegin(), e.crend(), find_fun) - e.crbegin();
        }
 
        return strided_view(std::forward<E>(e), {range(begin, end)});
    }
 
    /**************************
     * squeeze implementation *
     **************************/

    template <class E>
    inline auto squeeze(E&& e)
    {
        dynamic_shape<std::size_t> new_shape;
        dynamic_shape<std::ptrdiff_t> new_strides;
        std::copy_if(
            e.shape().cbegin(),
            e.shape().cend(),
            std::back_inserter(new_shape),
            [](std::size_t i)
            {
                return i != 1;
            }
        );
        decltype(auto) old_strides = detail::get_strides<XTENSOR_DEFAULT_LAYOUT>(e);
        std::copy_if(
            old_strides.cbegin(),
            old_strides.cend(),
            std::back_inserter(new_strides),
            [](std::ptrdiff_t i)
            {
                return i != 0;
            }
        );
 
        return strided_view(std::forward<E>(e), std::move(new_shape), std::move(new_strides), 0, e.layout());
    }
 
    namespace detail
    {
        template <class E, class S>
        inline auto squeeze_impl(E&& e, S&& axis, check_policy::none)
        {
            std::size_t new_dim = e.dimension() - axis.size();
            dynamic_shape<std::size_t> new_shape(new_dim);
            dynamic_shape<std::ptrdiff_t> new_strides(new_dim);
 
            decltype(auto) old_strides = detail::get_strides<XTENSOR_DEFAULT_LAYOUT>(e);
 
            for (std::size_t i = 0, ix = 0; i < e.dimension(); ++i)
            {
                if (axis.cend() == std::find(axis.cbegin(), axis.cend(), i))
                {
                    new_shape[ix] = e.shape()[i];
                    new_strides[ix++] = old_strides[i];
                }
            }
 
            return strided_view(std::forward<E>(e), std::move(new_shape), std::move(new_strides), 0, e.layout());
        }
 
        template <class E, class S>
        inline auto squeeze_impl(E&& e, S&& axis, check_policy::full)
        {
            for (auto ix : axis)
            {
                if (static_cast<std::size_t>(ix) > e.dimension())
                {
                    XTENSOR_THROW(std::runtime_error, "Axis argument to squeeze > dimension of expression");
                }
                if (e.shape()[static_cast<std::size_t>(ix)] != 1)
                {
                    XTENSOR_THROW(std::runtime_error, "Trying to squeeze axis != 1");
                }
            }
            return squeeze_impl(std::forward<E>(e), std::forward<S>(axis), check_policy::none());
        }
    }

    template <class E, xtl::non_integral_concept S, class Tag>
    inline auto squeeze(E&& e, S&& axis, Tag check_policy)
    {
        return detail::squeeze_impl(std::forward<E>(e), std::forward<S>(axis), check_policy);
    }

    template <class E, class I, std::size_t N, class Tag = check_policy::none>
    inline auto squeeze(E&& e, const I (&axis)[N], Tag check_policy = Tag())
    {
        using arr_t = std::array<I, N>;
        return detail::squeeze_impl(
            std::forward<E>(e),
            xtl::forward_sequence<arr_t, decltype(axis)>(axis),
            check_policy
        );
    }
 
    template <class E, class Tag = check_policy::none>
    inline auto squeeze(E&& e, std::size_t axis, Tag check_policy = Tag())
    {
        return squeeze(std::forward<E>(e), std::array<std::size_t, 1>{{axis}}, check_policy);
    }

 
    /******************************
     * expand_dims implementation *
     ******************************/

    template <class E>
    inline auto expand_dims(E&& e, std::size_t axis)
    {
        xstrided_slice_vector sv(e.dimension() + 1, all());
        sv[axis] = newaxis();
        return strided_view(std::forward<E>(e), std::move(sv));
    }
 
    /*****************************
     * atleast_Nd implementation *
     *****************************/

    template <std::size_t N, class E>
    inline auto atleast_Nd(E&& e)
    {
        xstrided_slice_vector sv((std::max)(e.dimension(), N), all());
        if (e.dimension() < N)
        {
            std::size_t i = 0;
            std::size_t end = static_cast<std::size_t>(std::round(double(N - e.dimension()) / double(N)));
            for (; i < end; ++i)
            {
                sv[i] = newaxis();
            }
            i += e.dimension();
            for (; i < N; ++i)
            {
                sv[i] = newaxis();
            }
        }
        return strided_view(std::forward<E>(e), std::move(sv));
    }

    template <class E>
    inline auto atleast_1d(E&& e)
    {
        return atleast_Nd<1>(std::forward<E>(e));
    }

    template <class E>
    inline auto atleast_2d(E&& e)
    {
        return atleast_Nd<2>(std::forward<E>(e));
    }

    template <class E>
    inline auto atleast_3d(E&& e)
    {
        return atleast_Nd<3>(std::forward<E>(e));
    }
 
    /************************
     * split implementation *
     ************************/

    template <class E>
    inline auto split(E& e, std::size_t n, std::size_t axis)
    {
        if (axis >= e.dimension())
        {
            XTENSOR_THROW(std::runtime_error, "Split along axis > dimension.");
        }
 
        std::size_t ax_sz = e.shape()[axis];
        xstrided_slice_vector sv(e.dimension(), all());
        std::size_t step = ax_sz / n;
        std::size_t rest = ax_sz % n;
 
        if (rest)
        {
            XTENSOR_THROW(std::runtime_error, "Split does not result in equal division.");
        }
 
        std::vector<decltype(strided_view(e, sv))> result;
        for (std::size_t i = 0; i < n; ++i)
        {
            sv[axis] = range(i * step, (i + 1) * step);
            result.emplace_back(strided_view(e, sv));
        }
        return result;
    }

    template <class E>
    inline auto hsplit(E& e, std::size_t n)
    {
        return split(e, n, std::size_t(1));
    }

    template <class E>
    inline auto vsplit(E& e, std::size_t n)
    {
        return split(e, n, std::size_t(0));
    }
 
    /***********************
     * flip implementation *
     ***********************/

    template <class E>
    inline auto flip(E&& e)
    {
        using size_type = typename std::decay_t<E>::size_type;
        auto r = flip(e, 0);
        for (size_type d = 1; d < e.dimension(); ++d)
        {
            r = flip(r, d);
        }
        return r;
    }

    template <class E>
    inline auto flip(E&& e, std::size_t axis)
    {
        using shape_type = xindex_type_t<typename std::decay_t<E>::shape_type>;
 
        shape_type shape;
        resize_container(shape, e.shape().size());
        std::copy(e.shape().cbegin(), e.shape().cend(), shape.begin());
 
        get_strides_t<shape_type> strides;
        decltype(auto) old_strides = detail::get_strides<XTENSOR_DEFAULT_LAYOUT>(e);
        resize_container(strides, old_strides.size());
        std::copy(old_strides.cbegin(), old_strides.cend(), strides.begin());
 
        strides[axis] *= -1;
        std::size_t offset = static_cast<std::size_t>(
            static_cast<std::ptrdiff_t>(e.data_offset())
            + old_strides[axis] * (static_cast<std::ptrdiff_t>(e.shape()[axis]) - 1)
        );
 
        return strided_view(std::forward<E>(e), std::move(shape), std::move(strides), offset);
    }
 
    /************************
     * rot90 implementation *
     ************************/
 
    namespace detail
    {
        template <std::ptrdiff_t N>
        struct rot90_impl;
 
        template <>
        struct rot90_impl<0>
        {
            template <class E>
            inline auto operator()(E&& e, const std::array<std::size_t, 2>& /*axes*/)
            {
                return std::forward<E>(e);
            }
        };
 
        template <>
        struct rot90_impl<1>
        {
            template <class E>
            inline auto operator()(E&& e, const std::array<std::size_t, 2>& axes)
            {
                using std::swap;
 
                dynamic_shape<std::ptrdiff_t> axes_list(e.shape().size());
                std::iota(axes_list.begin(), axes_list.end(), 0);
                swap(axes_list[axes[0]], axes_list[axes[1]]);
 
                return transpose(flip(std::forward<E>(e), axes[1]), std::move(axes_list));
            }
        };
 
        template <>
        struct rot90_impl<2>
        {
            template <class E>
            inline auto operator()(E&& e, const std::array<std::size_t, 2>& axes)
            {
                return flip(flip(std::forward<E>(e), axes[0]), axes[1]);
            }
        };
 
        template <>
        struct rot90_impl<3>
        {
            template <class E>
            inline auto operator()(E&& e, const std::array<std::size_t, 2>& axes)
            {
                using std::swap;
 
                dynamic_shape<std::ptrdiff_t> axes_list(e.shape().size());
                std::iota(axes_list.begin(), axes_list.end(), 0);
                swap(axes_list[axes[0]], axes_list[axes[1]]);
 
                return flip(transpose(std::forward<E>(e), std::move(axes_list)), axes[1]);
            }
        };
    }

    template <std::ptrdiff_t N, class E>
    inline auto rot90(E&& e, const std::array<std::ptrdiff_t, 2>& axes)
    {
        auto ndim = static_cast<std::ptrdiff_t>(e.shape().size());
 
        if (axes[0] == axes[1] || std::abs(axes[0] - axes[1]) == ndim)
        {
            XTENSOR_THROW(std::runtime_error, "Axes must be different");
        }
 
        auto norm_axes = forward_normalize<std::array<std::size_t, 2>>(e, axes);
        constexpr std::ptrdiff_t n = (4 + (N % 4)) % 4;
 
        return detail::rot90_impl<n>()(std::forward<E>(e), norm_axes);
    }
 
    /***********************
     * roll implementation *
     ***********************/

    template <class E>
    inline auto roll(E&& e, std::ptrdiff_t shift)
    {
        auto cpy = empty_like(e);
        auto flat_size = std::accumulate(
            cpy.shape().begin(),
            cpy.shape().end(),
            1L,
            std::multiplies<std::size_t>()
        );
        while (shift < 0)
        {
            shift += flat_size;
        }
 
        shift %= flat_size;
        std::copy(e.begin(), e.end() - shift, std::copy(e.end() - shift, e.end(), cpy.begin()));
 
        return cpy;
    }
 
    namespace detail
    {
 
        template <class To, class From, class S>
        To roll(To to, From from, std::ptrdiff_t shift, std::size_t axis, const S& shape, std::size_t M)
        {
            std::ptrdiff_t dim = std::ptrdiff_t(shape[M]);
            std::ptrdiff_t offset = std::accumulate(
                shape.begin() + M + 1,
                shape.end(),
                std::ptrdiff_t(1),
                std::multiplies<std::ptrdiff_t>()
            );
            if (shape.size() == M + 1)
            {
                if (axis == M)
                {
                    const auto split = from + (dim - shift) * offset;
                    for (auto iter = split, end = from + dim * offset; iter != end; iter += offset, ++to)
                    {
                        *to = *iter;
                    }
                    for (auto iter = from, end = split; iter != end; iter += offset, ++to)
                    {
                        *to = *iter;
                    }
                }
                else
                {
                    for (auto iter = from, end = from + dim * offset; iter != end; iter += offset, ++to)
                    {
                        *to = *iter;
                    }
                }
            }
            else
            {
                if (axis == M)
                {
                    const auto split = from + (dim - shift) * offset;
                    for (auto iter = split, end = from + dim * offset; iter != end; iter += offset)
                    {
                        to = roll(to, iter, shift, axis, shape, M + 1);
                    }
                    for (auto iter = from, end = split; iter != end; iter += offset)
                    {
                        to = roll(to, iter, shift, axis, shape, M + 1);
                    }
                }
                else
                {
                    for (auto iter = from, end = from + dim * offset; iter != end; iter += offset)
                    {
                        to = roll(to, iter, shift, axis, shape, M + 1);
                    }
                }
            }
            return to;
        }
    }

    template <class E>
    inline auto roll(E&& e, std::ptrdiff_t shift, std::ptrdiff_t axis)
    {
        auto cpy = empty_like(e);
        const auto& shape = cpy.shape();
        std::size_t saxis = static_cast<std::size_t>(axis);
        if (axis < 0)
        {
            axis += std::ptrdiff_t(cpy.dimension());
        }
 
        if (saxis >= cpy.dimension() || axis < 0)
        {
            XTENSOR_THROW(std::runtime_error, "axis is no within shape dimension.");
        }
 
        const auto axis_dim = static_cast<std::ptrdiff_t>(shape[saxis]);
        while (shift < 0)
        {
            shift += axis_dim;
        }
 
        detail::roll(cpy.begin(), e.begin(), shift, saxis, shape, 0);
        return cpy;
    }
 
    /****************************
     * repeat implementation    *
     ****************************/
 
    namespace detail
    {
        template <class E, class R>
        inline auto make_xrepeat(E&& e, R&& r, typename std::decay_t<E>::size_type axis)
        {
            const auto casted_axis = static_cast<typename std::decay_t<E>::size_type>(axis);
            if (r.size() != e.shape(casted_axis))
            {
                XTENSOR_THROW(std::invalid_argument, "repeats must have the same size as the specified axis");
            }
            return xrepeat<const_xclosure_t<E>, R>(std::forward<E>(e), std::forward<R>(r), axis);
        }
    }

    template <class E>
    inline auto repeat(E&& e, std::size_t repeats, std::size_t axis)
    {
        const auto casted_axis = static_cast<typename std::decay_t<E>::size_type>(axis);
        std::vector<std::size_t> broadcasted_repeats(e.shape(casted_axis));
        std::fill(broadcasted_repeats.begin(), broadcasted_repeats.end(), repeats);
        return repeat(std::forward<E>(e), std::move(broadcasted_repeats), axis);
    }

    template <class E>
    inline auto repeat(E&& e, const std::vector<std::size_t>& repeats, std::size_t axis)
    {
        return detail::make_xrepeat(std::forward<E>(e), repeats, axis);
    }

    template <class E>
    inline auto repeat(E&& e, std::vector<std::size_t>&& repeats, std::size_t axis)
    {
        return detail::make_xrepeat(std::forward<E>(e), std::move(repeats), axis);
    }
}
 
#endif