ankerl_dense.hpp

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// A fast & densely stored hashmap and hashset based on robin-hood backward shift deletion.
// Version 4.5.0
// https://github.com/martinus/unordered_dense
//
// Licensed under the MIT License <http://opensource.org/licenses/MIT>.
// SPDX-License-Identifier: MIT
// Copyright (c) 2022-2024 Martin Leitner-Ankerl <martin.ankerl@gmail.com>
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in all
// copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
// SOFTWARE.
 
#ifndef ANKERL_UNORDERED_DENSE_H
#define ANKERL_UNORDERED_DENSE_H
 
// see https://semver.org/spec/v2.0.0.html
#define ANKERL_UNORDERED_DENSE_VERSION_MAJOR 4 // NOLINT(cppcoreguidelines-macro-usage) incompatible API changes
#define ANKERL_UNORDERED_DENSE_VERSION_MINOR                                                                           \
    5 // NOLINT(cppcoreguidelines-macro-usage) backwards compatible functionality
#define ANKERL_UNORDERED_DENSE_VERSION_PATCH 0 // NOLINT(cppcoreguidelines-macro-usage) backwards compatible bug fixes
 
// API versioning with inline namespace, see https://www.foonathan.net/2018/11/inline-namespaces/
 
// NOLINTNEXTLINE(cppcoreguidelines-macro-usage)
#define ANKERL_UNORDERED_DENSE_VERSION_CONCAT1(major, minor, patch) v##major##_##minor##_##patch
// NOLINTNEXTLINE(cppcoreguidelines-macro-usage)
#define ANKERL_UNORDERED_DENSE_VERSION_CONCAT(major, minor, patch)                                                     \
    ANKERL_UNORDERED_DENSE_VERSION_CONCAT1(major, minor, patch)
#define ANKERL_UNORDERED_DENSE_NAMESPACE                                                                               \
    ANKERL_UNORDERED_DENSE_VERSION_CONCAT(ANKERL_UNORDERED_DENSE_VERSION_MAJOR,                                        \
                                          ANKERL_UNORDERED_DENSE_VERSION_MINOR,                                        \
                                          ANKERL_UNORDERED_DENSE_VERSION_PATCH)
 
#if defined(_MSVC_LANG)
#define ANKERL_UNORDERED_DENSE_CPP_VERSION _MSVC_LANG
#else
#define ANKERL_UNORDERED_DENSE_CPP_VERSION __cplusplus
#endif
 
#if defined(__GNUC__)
// NOLINTNEXTLINE(cppcoreguidelines-macro-usage)
#define ANKERL_UNORDERED_DENSE_PACK(decl) decl __attribute__((__packed__))
#elif defined(_MSC_VER)
// NOLINTNEXTLINE(cppcoreguidelines-macro-usage)
#define ANKERL_UNORDERED_DENSE_PACK(decl) __pragma(pack(push, 1)) decl __pragma(pack(pop))
#endif
 
// exceptions
#if defined(__cpp_exceptions) || defined(__EXCEPTIONS) || defined(_CPPUNWIND)
#define ANKERL_UNORDERED_DENSE_HAS_EXCEPTIONS() 1 // NOLINT(cppcoreguidelines-macro-usage)
#else
#define ANKERL_UNORDERED_DENSE_HAS_EXCEPTIONS() 0 // NOLINT(cppcoreguidelines-macro-usage)
#endif
#ifdef _MSC_VER
#define ANKERL_UNORDERED_DENSE_NOINLINE __declspec(noinline)
#else
#define ANKERL_UNORDERED_DENSE_NOINLINE __attribute__((noinline))
#endif
 
// defined in unordered_dense.cpp
#if !defined(ANKERL_UNORDERED_DENSE_EXPORT)
#define ANKERL_UNORDERED_DENSE_EXPORT
#endif
 
#if ANKERL_UNORDERED_DENSE_CPP_VERSION < 201703L
#error ankerl::unordered_dense requires C++17 or higher
#else
#include <array>            // for array
#include <cstdint>          // for uint64_t, uint32_t, uint8_t, UINT64_C
#include <cstring>          // for size_t, memcpy, memset
#include <functional>       // for equal_to, hash
#include <initializer_list> // for initializer_list
#include <iterator>         // for pair, distance
#include <limits>           // for numeric_limits
#include <memory>           // for allocator, allocator_traits, shared_ptr
#include <optional>         // for optional
#include <stdexcept>        // for out_of_range
#include <string>           // for basic_string
#include <string_view>      // for basic_string_view, hash
#include <tuple>            // for forward_as_tuple
#include <type_traits>      // for enable_if_t, declval, conditional_t, ena...
#include <utility>          // for forward, exchange, pair, as_const, piece...
#include <vector>           // for vector
#if ANKERL_UNORDERED_DENSE_HAS_EXCEPTIONS() == 0
#include <cstdlib> // for abort
#endif
 
#if defined(__has_include) && !defined(ANKERL_UNORDERED_DENSE_DISABLE_PMR)
#if __has_include(<memory_resource>)
#define ANKERL_UNORDERED_DENSE_PMR std::pmr // NOLINT(cppcoreguidelines-macro-usage)
#include <memory_resource>                  // for polymorphic_allocator
#elif __has_include(<experimental/memory_resource>)
#define ANKERL_UNORDERED_DENSE_PMR std::experimental::pmr // NOLINT(cppcoreguidelines-macro-usage)
#include <experimental/memory_resource>                   // for polymorphic_allocator
#endif
#endif
 
#if defined(_MSC_VER) && defined(_M_X64)
#include <intrin.h>
#pragma intrinsic(_umul128)
#endif
 
#if defined(__GNUC__) || defined(__INTEL_COMPILER) || defined(__clang__)
#define ANKERL_UNORDERED_DENSE_LIKELY(x) __builtin_expect(x, 1)   // NOLINT(cppcoreguidelines-macro-usage)
#define ANKERL_UNORDERED_DENSE_UNLIKELY(x) __builtin_expect(x, 0) // NOLINT(cppcoreguidelines-macro-usage)
#else
#define ANKERL_UNORDERED_DENSE_LIKELY(x) (x)   // NOLINT(cppcoreguidelines-macro-usage)
#define ANKERL_UNORDERED_DENSE_UNLIKELY(x) (x) // NOLINT(cppcoreguidelines-macro-usage)
#endif
 
namespace ankerl::unordered_dense {
inline namespace ANKERL_UNORDERED_DENSE_NAMESPACE {
 
namespace detail {
 
#if ANKERL_UNORDERED_DENSE_HAS_EXCEPTIONS()
 
// make sure this is not inlined as it is slow and dramatically enlarges code, thus making other
// inlinings more difficult. Throws are also generally the slow path.
[[noreturn]] inline ANKERL_UNORDERED_DENSE_NOINLINE void on_error_key_not_found()
{
    throw std::out_of_range("ankerl::unordered_dense::map::at(): key not found");
}
[[noreturn]] inline ANKERL_UNORDERED_DENSE_NOINLINE void on_error_bucket_overflow()
{
    throw std::overflow_error("ankerl::unordered_dense: reached max bucket size, cannot increase size");
}
[[noreturn]] inline ANKERL_UNORDERED_DENSE_NOINLINE void on_error_too_many_elements()
{
    throw std::out_of_range("ankerl::unordered_dense::map::replace(): too many elements");
}
 
#else
 
[[noreturn]] inline void on_error_key_not_found()
{
    abort();
}
[[noreturn]] inline void on_error_bucket_overflow()
{
    abort();
}
[[noreturn]] inline void on_error_too_many_elements()
{
    abort();
}
 
#endif
 
} // namespace detail
 
// hash ///////////////////////////////////////////////////////////////////////
 
// This is a stripped-down implementation of wyhash: https://github.com/wangyi-fudan/wyhash
// No big-endian support (because different values on different machines don't matter),
// hardcodes seed and the secret, reformats the code, and clang-tidy fixes.
namespace detail::wyhash {
 
inline void mum(uint64_t* a, uint64_t* b)
{
#if defined(__SIZEOF_INT128__)
    __uint128_t r = *a;
    r *= *b;
    *a = static_cast<uint64_t>(r);
    *b = static_cast<uint64_t>(r >> 64U);
#elif defined(_MSC_VER) && defined(_M_X64)
    *a = _umul128(*a, *b, b);
#else
    uint64_t ha = *a >> 32U;
    uint64_t hb = *b >> 32U;
    uint64_t la = static_cast<uint32_t>(*a);
    uint64_t lb = static_cast<uint32_t>(*b);
    uint64_t hi{};
    uint64_t lo{};
    uint64_t rh = ha * hb;
    uint64_t rm0 = ha * lb;
    uint64_t rm1 = hb * la;
    uint64_t rl = la * lb;
    uint64_t t = rl + (rm0 << 32U);
    auto c = static_cast<uint64_t>(t < rl);
    lo = t + (rm1 << 32U);
    c += static_cast<uint64_t>(lo < t);
    hi = rh + (rm0 >> 32U) + (rm1 >> 32U) + c;
    *a = lo;
    *b = hi;
#endif
}
 
// multiply and xor mix function, aka MUM
[[nodiscard]] inline auto mix(uint64_t a, uint64_t b) -> uint64_t
{
    mum(&a, &b);
    return a ^ b;
}
 
// read functions. WARNING: we don't care about endianness, so results are different on big endian!
[[nodiscard]] inline auto r8(const uint8_t* p) -> uint64_t
{
    uint64_t v{};
    std::memcpy(&v, p, 8U);
    return v;
}
 
[[nodiscard]] inline auto r4(const uint8_t* p) -> uint64_t
{
    uint32_t v{};
    std::memcpy(&v, p, 4);
    return v;
}
 
// reads 1, 2, or 3 bytes
[[nodiscard]] inline auto r3(const uint8_t* p, size_t k) -> uint64_t
{
    return (static_cast<uint64_t>(p[0]) << 16U) | (static_cast<uint64_t>(p[k >> 1U]) << 8U) | p[k - 1];
}
 
[[maybe_unused]] [[nodiscard]] inline auto hash(void const* key, size_t len) -> uint64_t
{
    static constexpr auto secret = std::array{ UINT64_C(0xa0761d6478bd642f),
                                               UINT64_C(0xe7037ed1a0b428db),
                                               UINT64_C(0x8ebc6af09c88c6e3),
                                               UINT64_C(0x589965cc75374cc3) };
 
    auto const* p = static_cast<uint8_t const*>(key);
    uint64_t seed = secret[0];
    uint64_t a{};
    uint64_t b{};
    if (ANKERL_UNORDERED_DENSE_LIKELY(len <= 16)) {
        if (ANKERL_UNORDERED_DENSE_LIKELY(len >= 4)) {
            a = (r4(p) << 32U) | r4(p + ((len >> 3U) << 2U));
            b = (r4(p + len - 4) << 32U) | r4(p + len - 4 - ((len >> 3U) << 2U));
        } else if (ANKERL_UNORDERED_DENSE_LIKELY(len > 0)) {
            a = r3(p, len);
            b = 0;
        } else {
            a = 0;
            b = 0;
        }
    } else {
        size_t i = len;
        if (ANKERL_UNORDERED_DENSE_UNLIKELY(i > 48)) {
            uint64_t see1 = seed;
            uint64_t see2 = seed;
            do {
                seed = mix(r8(p) ^ secret[1], r8(p + 8) ^ seed);
                see1 = mix(r8(p + 16) ^ secret[2], r8(p + 24) ^ see1);
                see2 = mix(r8(p + 32) ^ secret[3], r8(p + 40) ^ see2);
                p += 48;
                i -= 48;
            } while (ANKERL_UNORDERED_DENSE_LIKELY(i > 48));
            seed ^= see1 ^ see2;
        }
        while (ANKERL_UNORDERED_DENSE_UNLIKELY(i > 16)) {
            seed = mix(r8(p) ^ secret[1], r8(p + 8) ^ seed);
            i -= 16;
            p += 16;
        }
        a = r8(p + i - 16);
        b = r8(p + i - 8);
    }
 
    return mix(secret[1] ^ len, mix(a ^ secret[1], b ^ seed));
}
 
[[nodiscard]] inline auto hash(uint64_t x) -> uint64_t
{
    return detail::wyhash::mix(x, UINT64_C(0x9E3779B97F4A7C15));
}
 
} // namespace detail::wyhash
 
ANKERL_UNORDERED_DENSE_EXPORT template <typename T, typename Enable = void> struct hash {
    auto operator()(T const& obj) const
        noexcept(noexcept(std::declval<std::hash<T>>().operator()(std::declval<T const&>()))) -> uint64_t
    {
        return std::hash<T>{}(obj);
    }
};
 
template <typename T> struct hash<T, typename std::hash<T>::is_avalanching> {
    using is_avalanching = void;
    auto operator()(T const& obj) const
        noexcept(noexcept(std::declval<std::hash<T>>().operator()(std::declval<T const&>()))) -> uint64_t
    {
        return std::hash<T>{}(obj);
    }
};
 
template <typename CharT> struct hash<std::basic_string<CharT>> {
    using is_avalanching = void;
    auto operator()(std::basic_string<CharT> const& str) const noexcept -> uint64_t
    {
        return detail::wyhash::hash(str.data(), sizeof(CharT) * str.size());
    }
};
 
template <typename CharT> struct hash<std::basic_string_view<CharT>> {
    using is_avalanching = void;
    auto operator()(std::basic_string_view<CharT> const& sv) const noexcept -> uint64_t
    {
        return detail::wyhash::hash(sv.data(), sizeof(CharT) * sv.size());
    }
};
 
template <class T> struct hash<T*> {
    using is_avalanching = void;
    auto operator()(T* ptr) const noexcept -> uint64_t
    {
        // NOLINTNEXTLINE(cppcoreguidelines-pro-type-reinterpret-cast)
        return detail::wyhash::hash(reinterpret_cast<uintptr_t>(ptr));
    }
};
 
template <class T> struct hash<std::unique_ptr<T>> {
    using is_avalanching = void;
    auto operator()(std::unique_ptr<T> const& ptr) const noexcept -> uint64_t
    {
        // NOLINTNEXTLINE(cppcoreguidelines-pro-type-reinterpret-cast)
        return detail::wyhash::hash(reinterpret_cast<uintptr_t>(ptr.get()));
    }
};
 
template <class T> struct hash<std::shared_ptr<T>> {
    using is_avalanching = void;
    auto operator()(std::shared_ptr<T> const& ptr) const noexcept -> uint64_t
    {
        // NOLINTNEXTLINE(cppcoreguidelines-pro-type-reinterpret-cast)
        return detail::wyhash::hash(reinterpret_cast<uintptr_t>(ptr.get()));
    }
};
 
template <typename Enum> struct hash<Enum, typename std::enable_if<std::is_enum<Enum>::value>::type> {
    using is_avalanching = void;
    auto operator()(Enum e) const noexcept -> uint64_t
    {
        using underlying = typename std::underlying_type_t<Enum>;
        return detail::wyhash::hash(static_cast<underlying>(e));
    }
};
 
template <typename... Args> struct tuple_hash_helper {
    // Converts the value into 64bit. If it is an integral type, just cast it. Mixing is doing the rest.
    // If it isn't an integral we need to hash it.
    template <typename Arg> [[nodiscard]] constexpr static auto to64(Arg const& arg) -> uint64_t
    {
        if constexpr (std::is_integral_v<Arg> || std::is_enum_v<Arg>) {
            return static_cast<uint64_t>(arg);
        } else {
            return hash<Arg>{}(arg);
        }
    }
 
    [[nodiscard]] static auto mix64(uint64_t state, uint64_t v) -> uint64_t
    {
        return detail::wyhash::mix(state + v, uint64_t{ 0x9ddfea08eb382d69 });
    }
 
    // Creates a buffer that holds all the data from each element of the tuple. If possible we memcpy the data directly.
    // If not, we hash the object and use this for the array. Size of the array is known at compile time, and memcpy is
    // optimized away, so filling the buffer is highly efficient. Finally, call wyhash with this buffer.
    template <typename T, std::size_t... Idx>
    [[nodiscard]] static auto calc_hash(T const& t, std::index_sequence<Idx...>) noexcept -> uint64_t
    {
        auto h = uint64_t{};
        ((h = mix64(h, to64(std::get<Idx>(t)))), ...);
        return h;
    }
};
 
template <typename... Args> struct hash<std::tuple<Args...>> : tuple_hash_helper<Args...> {
    using is_avalanching = void;
    auto operator()(std::tuple<Args...> const& t) const noexcept -> uint64_t
    {
        return tuple_hash_helper<Args...>::calc_hash(t, std::index_sequence_for<Args...>{});
    }
};
 
template <typename A, typename B> struct hash<std::pair<A, B>> : tuple_hash_helper<A, B> {
    using is_avalanching = void;
    auto operator()(std::pair<A, B> const& t) const noexcept -> uint64_t
    {
        return tuple_hash_helper<A, B>::calc_hash(t, std::index_sequence_for<A, B>{});
    }
};
 
// NOLINTNEXTLINE(cppcoreguidelines-macro-usage)
#define ANKERL_UNORDERED_DENSE_HASH_STATICCAST(T)                                                                      \
    template <> struct hash<T> {                                                                                       \
        using is_avalanching = void;                                                                                   \
        auto operator()(T const& obj) const noexcept -> uint64_t                                                       \
        {                                                                                                              \
            return detail::wyhash::hash(static_cast<uint64_t>(obj));                                                   \
        }                                                                                                              \
    }
 
#if defined(__GNUC__) && !defined(__clang__)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wuseless-cast"
#endif
// see https://en.cppreference.com/w/cpp/utility/hash
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(bool);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(char);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(signed char);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(unsigned char);
#if ANKERL_UNORDERED_DENSE_CPP_VERSION >= 202002L && defined(__cpp_char8_t)
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(char8_t);
#endif
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(char16_t);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(char32_t);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(wchar_t);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(short);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(unsigned short);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(int);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(unsigned int);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(long);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(long long);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(unsigned long);
ANKERL_UNORDERED_DENSE_HASH_STATICCAST(unsigned long long);
 
#if defined(__GNUC__) && !defined(__clang__)
#pragma GCC diagnostic pop
#endif
 
// bucket_type //////////////////////////////////////////////////////////
 
namespace bucket_type {
 
struct standard {
    static constexpr uint32_t dist_inc = 1U << 8U;             // skip 1 byte fingerprint
    static constexpr uint32_t fingerprint_mask = dist_inc - 1; // mask for 1 byte of fingerprint
 
    uint32_t m_dist_and_fingerprint; // upper 3 byte: distance to original bucket. lower byte: fingerprint from hash
    uint32_t m_value_idx;            // index into the m_values vector.
};
 
ANKERL_UNORDERED_DENSE_PACK(struct big {
    static constexpr uint32_t dist_inc = 1U << 8U;             // skip 1 byte fingerprint
    static constexpr uint32_t fingerprint_mask = dist_inc - 1; // mask for 1 byte of fingerprint
 
    uint32_t m_dist_and_fingerprint; // upper 3 byte: distance to original bucket. lower byte: fingerprint from hash
    size_t m_value_idx;              // index into the m_values vector.
});
 
} // namespace bucket_type
 
namespace detail {
 
struct nonesuch {};
struct default_container_t {};
 
template <class Default, class AlwaysVoid, template <class...> class Op, class... Args> struct detector {
    using value_t = std::false_type;
    using type = Default;
};
 
template <class Default, template <class...> class Op, class... Args>
struct detector<Default, std::void_t<Op<Args...>>, Op, Args...> {
    using value_t = std::true_type;
    using type = Op<Args...>;
};
 
template <template <class...> class Op, class... Args>
using is_detected = typename detail::detector<detail::nonesuch, void, Op, Args...>::value_t;
 
template <template <class...> class Op, class... Args> constexpr bool is_detected_v = is_detected<Op, Args...>::value;
 
template <typename T> using detect_avalanching = typename T::is_avalanching;
 
template <typename T> using detect_is_transparent = typename T::is_transparent;
 
template <typename T> using detect_iterator = typename T::iterator;
 
template <typename T> using detect_reserve = decltype(std::declval<T&>().reserve(size_t{}));
 
// enable_if helpers
 
template <typename Mapped> constexpr bool is_map_v = !std::is_void_v<Mapped>;
 
// clang-format off
template <typename Hash, typename KeyEqual>
constexpr bool is_transparent_v = is_detected_v<detect_is_transparent, Hash> && is_detected_v<detect_is_transparent, KeyEqual>;
// clang-format on
 
template <typename From, typename To1, typename To2>
constexpr bool is_neither_convertible_v = !std::is_convertible_v<From, To1> && !std::is_convertible_v<From, To2>;
 
template <typename T> constexpr bool has_reserve = is_detected_v<detect_reserve, T>;
 
// base type for map has mapped_type
template <class T> struct base_table_type_map {
    using mapped_type = T;
};
 
// base type for set doesn't have mapped_type
struct base_table_type_set {};
 
} // namespace detail
 
// Very much like std::deque, but faster for indexing (in most cases). As of now this doesn't implement the full
// std::vector API, but merely what's necessary to work as an underlying container for ankerl::unordered_dense::{map,
// set}. It allocates blocks of equal size and puts them into the m_blocks vector. That means it can grow simply by
// adding a new block to the back of m_blocks, and doesn't double its size like an std::vector. The disadvantage is that
// memory is not linear and thus there is one more indirection necessary for indexing.
template <typename T, typename Allocator = std::allocator<T>, size_t MaxSegmentSizeBytes = 4096>
class segmented_vector {
    template <bool IsConst> class iter_t;
 
  public:
    using allocator_type = Allocator;
    using pointer = typename std::allocator_traits<allocator_type>::pointer;
    using const_pointer = typename std::allocator_traits<allocator_type>::const_pointer;
    using difference_type = typename std::allocator_traits<allocator_type>::difference_type;
    using value_type = T;
    using size_type = std::size_t;
    using reference = T&;
    using const_reference = T const&;
    using iterator = iter_t<false>;
    using const_iterator = iter_t<true>;
 
  private:
    using vec_alloc = typename std::allocator_traits<Allocator>::template rebind_alloc<pointer>;
    std::vector<pointer, vec_alloc> m_blocks{};
    size_t m_size{};
 
    // Calculates the maximum number for x in  (s << x) <= max_val
    static constexpr auto num_bits_closest(size_t max_val, size_t s) -> size_t
    {
        auto f = size_t{ 0 };
        while (s << (f + 1) <= max_val) {
            ++f;
        }
        return f;
    }
 
    using self_t = segmented_vector<T, Allocator, MaxSegmentSizeBytes>;
    static constexpr auto num_bits = num_bits_closest(MaxSegmentSizeBytes, sizeof(T));
    static constexpr auto num_elements_in_block = 1U << num_bits;
    static constexpr auto mask = num_elements_in_block - 1U;
 
    template <bool IsConst> class iter_t {
        using ptr_t =
            typename std::conditional_t<IsConst, segmented_vector::const_pointer const*, segmented_vector::pointer*>;
        ptr_t m_data{};
        size_t m_idx{};
 
        template <bool B> friend class iter_t;
 
      public:
        using difference_type = segmented_vector::difference_type;
        using value_type = T;
        using reference = typename std::conditional_t<IsConst, value_type const&, value_type&>;
        using pointer =
            typename std::conditional_t<IsConst, segmented_vector::const_pointer, segmented_vector::pointer>;
        using iterator_category = std::forward_iterator_tag;
 
        iter_t() noexcept = default;
 
        template <bool OtherIsConst, typename = typename std::enable_if<IsConst && !OtherIsConst>::type>
        // NOLINTNEXTLINE(google-explicit-constructor,hicpp-explicit-conversions)
        constexpr iter_t(iter_t<OtherIsConst> const& other) noexcept
            : m_data(other.m_data)
            , m_idx(other.m_idx)
        {}
 
        constexpr iter_t(ptr_t data, size_t idx) noexcept
            : m_data(data)
            , m_idx(idx)
        {}
 
        template <bool OtherIsConst, typename = typename std::enable_if<IsConst && !OtherIsConst>::type>
        constexpr auto operator=(iter_t<OtherIsConst> const& other) noexcept -> iter_t&
        {
            m_data = other.m_data;
            m_idx = other.m_idx;
            return *this;
        }
 
        constexpr auto operator++() noexcept -> iter_t&
        {
            ++m_idx;
            return *this;
        }
 
        constexpr auto operator++(int) noexcept -> iter_t
        {
            iter_t prev(*this);
            this->operator++();
            return prev;
        }
 
        constexpr auto operator+(difference_type diff) noexcept -> iter_t
        {
            return { m_data, static_cast<size_t>(static_cast<difference_type>(m_idx) + diff) };
        }
 
        template <bool OtherIsConst>
        constexpr auto operator-(iter_t<OtherIsConst> const& other) noexcept -> difference_type
        {
            return static_cast<difference_type>(m_idx) - static_cast<difference_type>(other.m_idx);
        }
 
        constexpr auto operator*() const noexcept -> reference { return m_data[m_idx >> num_bits][m_idx & mask]; }
 
        constexpr auto operator->() const noexcept -> pointer { return &m_data[m_idx >> num_bits][m_idx & mask]; }
 
        template <bool O> constexpr auto operator==(iter_t<O> const& o) const noexcept -> bool
        {
            return m_idx == o.m_idx;
        }
 
        template <bool O> constexpr auto operator!=(iter_t<O> const& o) const noexcept -> bool { return !(*this == o); }
    };
 
    // slow path: need to allocate a new segment every once in a while
    void increase_capacity()
    {
        auto ba = Allocator(m_blocks.get_allocator());
        pointer block = std::allocator_traits<Allocator>::allocate(ba, num_elements_in_block);
        m_blocks.push_back(block);
    }
 
    // Moves everything from other
    void append_everything_from(segmented_vector&& other)
    {
        reserve(size() + other.size());
        for (auto&& o : other) {
            emplace_back(std::move(o));
        }
    }
 
    // Copies everything from other
    void append_everything_from(segmented_vector const& other)
    {
        reserve(size() + other.size());
        for (auto const& o : other) {
            emplace_back(o);
        }
    }
 
    void dealloc()
    {
        auto ba = Allocator(m_blocks.get_allocator());
        for (auto ptr : m_blocks) {
            std::allocator_traits<Allocator>::deallocate(ba, ptr, num_elements_in_block);
        }
    }
 
    [[nodiscard]] static constexpr auto calc_num_blocks_for_capacity(size_t capacity)
    {
        return (capacity + num_elements_in_block - 1U) / num_elements_in_block;
    }
 
  public:
    segmented_vector() = default;
 
    // NOLINTNEXTLINE(google-explicit-constructor,hicpp-explicit-conversions)
    segmented_vector(Allocator alloc)
        : m_blocks(vec_alloc(alloc))
    {}
 
    segmented_vector(segmented_vector&& other, Allocator alloc)
        : segmented_vector(alloc)
    {
        *this = std::move(other);
    }
 
    segmented_vector(segmented_vector const& other, Allocator alloc)
        : m_blocks(vec_alloc(alloc))
    {
        append_everything_from(other);
    }
 
    segmented_vector(segmented_vector&& other) noexcept
        : segmented_vector(std::move(other), get_allocator())
    {}
 
    segmented_vector(segmented_vector const& other) { append_everything_from(other); }
 
    auto operator=(segmented_vector const& other) -> segmented_vector&
    {
        if (this == &other) {
            return *this;
        }
        clear();
        append_everything_from(other);
        return *this;
    }
 
    auto operator=(segmented_vector&& other) noexcept -> segmented_vector&
    {
        clear();
        dealloc();
        if (other.get_allocator() == get_allocator()) {
            m_blocks = std::move(other.m_blocks);
            m_size = std::exchange(other.m_size, {});
        } else {
            // make sure to construct with other's allocator!
            m_blocks = std::vector<pointer, vec_alloc>(vec_alloc(other.get_allocator()));
            append_everything_from(std::move(other));
        }
        return *this;
    }
 
    ~segmented_vector()
    {
        clear();
        dealloc();
    }
 
    [[nodiscard]] constexpr auto size() const -> size_t { return m_size; }
 
    [[nodiscard]] constexpr auto capacity() const -> size_t { return m_blocks.size() * num_elements_in_block; }
 
    // Indexing is highly performance critical
    [[nodiscard]] constexpr auto operator[](size_t i) const noexcept -> T const&
    {
        return m_blocks[i >> num_bits][i & mask];
    }
 
    [[nodiscard]] constexpr auto operator[](size_t i) noexcept -> T& { return m_blocks[i >> num_bits][i & mask]; }
 
    [[nodiscard]] constexpr auto begin() -> iterator { return { m_blocks.data(), 0U }; }
    [[nodiscard]] constexpr auto begin() const -> const_iterator { return { m_blocks.data(), 0U }; }
    [[nodiscard]] constexpr auto cbegin() const -> const_iterator { return { m_blocks.data(), 0U }; }
 
    [[nodiscard]] constexpr auto end() -> iterator { return { m_blocks.data(), m_size }; }
    [[nodiscard]] constexpr auto end() const -> const_iterator { return { m_blocks.data(), m_size }; }
    [[nodiscard]] constexpr auto cend() const -> const_iterator { return { m_blocks.data(), m_size }; }
 
    [[nodiscard]] constexpr auto back() -> reference { return operator[](m_size - 1); }
    [[nodiscard]] constexpr auto back() const -> const_reference { return operator[](m_size - 1); }
 
    void pop_back()
    {
        back().~T();
        --m_size;
    }
 
    [[nodiscard]] auto empty() const { return 0 == m_size; }
 
    void reserve(size_t new_capacity)
    {
        m_blocks.reserve(calc_num_blocks_for_capacity(new_capacity));
        while (new_capacity > capacity()) {
            increase_capacity();
        }
    }
 
    [[nodiscard]] auto get_allocator() const -> allocator_type { return allocator_type{ m_blocks.get_allocator() }; }
 
    template <class... Args> auto emplace_back(Args&&... args) -> reference
    {
        if (m_size == capacity()) {
            increase_capacity();
        }
        auto* ptr = static_cast<void*>(&operator[](m_size));
        auto& ref = *new (ptr) T(std::forward<Args>(args)...);
        ++m_size;
        return ref;
    }
 
    void clear()
    {
        if constexpr (!std::is_trivially_destructible_v<T>) {
            for (size_t i = 0, s = size(); i < s; ++i) {
                operator[](i).~T();
            }
        }
        m_size = 0;
    }
 
    void shrink_to_fit()
    {
        auto ba = Allocator(m_blocks.get_allocator());
        auto num_blocks_required = calc_num_blocks_for_capacity(m_size);
        while (m_blocks.size() > num_blocks_required) {
            std::allocator_traits<Allocator>::deallocate(ba, m_blocks.back(), num_elements_in_block);
            m_blocks.pop_back();
        }
        m_blocks.shrink_to_fit();
    }
};
 
namespace detail {
 
// This is it, the table. Doubles as map and set, and uses `void` for T when its used as a set.
template <class Key,
          class T, // when void, treat it as a set.
          class Hash,
          class KeyEqual,
          class AllocatorOrContainer,
          class Bucket,
          class BucketContainer,
          bool IsSegmented>
class table : public std::conditional_t<is_map_v<T>, base_table_type_map<T>, base_table_type_set> {
    using underlying_value_type = typename std::conditional_t<is_map_v<T>, std::pair<Key, T>, Key>;
    using underlying_container_type = std::conditional_t<IsSegmented,
                                                         segmented_vector<underlying_value_type, AllocatorOrContainer>,
                                                         std::vector<underlying_value_type, AllocatorOrContainer>>;
 
  public:
    using value_container_type = std::conditional_t<is_detected_v<detect_iterator, AllocatorOrContainer>,
                                                    AllocatorOrContainer,
                                                    underlying_container_type>;
 
  private:
    using bucket_alloc =
        typename std::allocator_traits<typename value_container_type::allocator_type>::template rebind_alloc<Bucket>;
    using default_bucket_container_type =
        std::conditional_t<IsSegmented, segmented_vector<Bucket, bucket_alloc>, std::vector<Bucket, bucket_alloc>>;
 
    using bucket_container_type = std::conditional_t<std::is_same_v<BucketContainer, detail::default_container_t>,
                                                     default_bucket_container_type,
                                                     BucketContainer>;
 
    static constexpr uint8_t initial_shifts = 64 - 2; // 2^(64-m_shift) number of buckets
    static constexpr float default_max_load_factor = 0.8F;
 
  public:
    using key_type = Key;
    using value_type = typename value_container_type::value_type;
    using size_type = typename value_container_type::size_type;
    using difference_type = typename value_container_type::difference_type;
    using hasher = Hash;
    using key_equal = KeyEqual;
    using allocator_type = typename value_container_type::allocator_type;
    using reference = typename value_container_type::reference;
    using const_reference = typename value_container_type::const_reference;
    using pointer = typename value_container_type::pointer;
    using const_pointer = typename value_container_type::const_pointer;
    using const_iterator = typename value_container_type::const_iterator;
    using iterator = std::conditional_t<is_map_v<T>, typename value_container_type::iterator, const_iterator>;
    using bucket_type = Bucket;
 
  private:
    using value_idx_type = decltype(Bucket::m_value_idx);
    using dist_and_fingerprint_type = decltype(Bucket::m_dist_and_fingerprint);
 
    static_assert(std::is_trivially_destructible_v<Bucket>, "assert there's no need to call destructor / std::destroy");
    static_assert(std::is_trivially_copyable_v<Bucket>, "assert we can just memset / memcpy");
 
    value_container_type m_values{}; // Contains all the key-value pairs in one densely stored container. No holes.
    bucket_container_type m_buckets{};
    size_t m_max_bucket_capacity = 0;
    float m_max_load_factor = default_max_load_factor;
    Hash m_hash{};
    KeyEqual m_equal{};
    uint8_t m_shifts = initial_shifts;
 
    [[nodiscard]] auto next(value_idx_type bucket_idx) const -> value_idx_type
    {
        return ANKERL_UNORDERED_DENSE_UNLIKELY(bucket_idx + 1U == bucket_count())
                   ? 0
                   : static_cast<value_idx_type>(bucket_idx + 1U);
    }
 
    // Helper to access bucket through pointer types
    [[nodiscard]] static constexpr auto at(bucket_container_type& bucket, size_t offset) -> Bucket&
    {
        return bucket[offset];
    }
 
    [[nodiscard]] static constexpr auto at(const bucket_container_type& bucket, size_t offset) -> const Bucket&
    {
        return bucket[offset];
    }
 
    // use the dist_inc and dist_dec functions so that uint16_t types work without warning
    [[nodiscard]] static constexpr auto dist_inc(dist_and_fingerprint_type x) -> dist_and_fingerprint_type
    {
        return static_cast<dist_and_fingerprint_type>(x + Bucket::dist_inc);
    }
 
    [[nodiscard]] static constexpr auto dist_dec(dist_and_fingerprint_type x) -> dist_and_fingerprint_type
    {
        return static_cast<dist_and_fingerprint_type>(x - Bucket::dist_inc);
    }
 
    // The goal of mixed_hash is to always produce a high quality 64bit hash.
    template <typename K> [[nodiscard]] constexpr auto mixed_hash(K const& key) const -> uint64_t
    {
        if constexpr (is_detected_v<detect_avalanching, Hash>) {
            // we know that the hash is good because is_avalanching.
            if constexpr (sizeof(decltype(m_hash(key))) < sizeof(uint64_t)) {
                // 32bit hash and is_avalanching => multiply with a constant to avalanche bits upwards
                return m_hash(key) * UINT64_C(0x9ddfea08eb382d69);
            } else {
                // 64bit and is_avalanching => only use the hash itself.
                return m_hash(key);
            }
        } else {
            // not is_avalanching => apply wyhash
            return wyhash::hash(m_hash(key));
        }
    }
 
    [[nodiscard]] constexpr auto dist_and_fingerprint_from_hash(uint64_t hash) const -> dist_and_fingerprint_type
    {
        return Bucket::dist_inc | (static_cast<dist_and_fingerprint_type>(hash) & Bucket::fingerprint_mask);
    }
 
    [[nodiscard]] constexpr auto bucket_idx_from_hash(uint64_t hash) const -> value_idx_type
    {
        return static_cast<value_idx_type>(hash >> m_shifts);
    }
 
    [[nodiscard]] static constexpr auto get_key(value_type const& vt) -> key_type const&
    {
        if constexpr (is_map_v<T>) {
            return vt.first;
        } else {
            return vt;
        }
    }
 
    template <typename K> [[nodiscard]] auto next_while_less(K const& key) const -> Bucket
    {
        auto hash = mixed_hash(key);
        auto dist_and_fingerprint = dist_and_fingerprint_from_hash(hash);
        auto bucket_idx = bucket_idx_from_hash(hash);
 
        while (dist_and_fingerprint < at(m_buckets, bucket_idx).m_dist_and_fingerprint) {
            dist_and_fingerprint = dist_inc(dist_and_fingerprint);
            bucket_idx = next(bucket_idx);
        }
        return { dist_and_fingerprint, bucket_idx };
    }
 
    void place_and_shift_up(Bucket bucket, value_idx_type place)
    {
        while (0 != at(m_buckets, place).m_dist_and_fingerprint) {
            bucket = std::exchange(at(m_buckets, place), bucket);
            bucket.m_dist_and_fingerprint = dist_inc(bucket.m_dist_and_fingerprint);
            place = next(place);
        }
        at(m_buckets, place) = bucket;
    }
 
    [[nodiscard]] static constexpr auto calc_num_buckets(uint8_t shifts) -> size_t
    {
        return (std::min)(max_bucket_count(), size_t{ 1 } << (64U - shifts));
    }
 
    [[nodiscard]] constexpr auto calc_shifts_for_size(size_t s) const -> uint8_t
    {
        auto shifts = initial_shifts;
        while (shifts > 0 &&
               static_cast<size_t>(static_cast<float>(calc_num_buckets(shifts)) * max_load_factor()) < s) {
            --shifts;
        }
        return shifts;
    }
 
    // assumes m_values has data, m_buckets=m_buckets_end=nullptr, m_shifts is INITIAL_SHIFTS
    void copy_buckets(table const& other)
    {
        // assumes m_values has already the correct data copied over.
        if (empty()) {
            // when empty, at least allocate an initial buckets and clear them.
            allocate_buckets_from_shift();
            clear_buckets();
        } else {
            m_shifts = other.m_shifts;
            allocate_buckets_from_shift();
            if constexpr (IsSegmented || !std::is_same_v<BucketContainer, default_container_t>) {
                for (auto i = 0UL; i < bucket_count(); ++i) {
                    at(m_buckets, i) = at(other.m_buckets, i);
                }
            } else {
                std::memcpy(m_buckets.data(), other.m_buckets.data(), sizeof(Bucket) * bucket_count());
            }
        }
    }
 
    [[nodiscard]] auto is_full() const -> bool { return size() > m_max_bucket_capacity; }
 
    void deallocate_buckets()
    {
        m_buckets.clear();
        m_buckets.shrink_to_fit();
        m_max_bucket_capacity = 0;
    }
 
    void allocate_buckets_from_shift()
    {
        auto num_buckets = calc_num_buckets(m_shifts);
        if constexpr (IsSegmented || !std::is_same_v<BucketContainer, default_container_t>) {
            if constexpr (has_reserve<bucket_container_type>) {
                m_buckets.reserve(num_buckets);
            }
            for (size_t i = m_buckets.size(); i < num_buckets; ++i) {
                m_buckets.emplace_back();
            }
        } else {
            m_buckets.resize(num_buckets);
        }
        if (num_buckets == max_bucket_count()) {
            // reached the maximum, make sure we can use each bucket
            m_max_bucket_capacity = max_bucket_count();
        } else {
            m_max_bucket_capacity = static_cast<value_idx_type>(static_cast<float>(num_buckets) * max_load_factor());
        }
    }
 
    void clear_buckets()
    {
        if constexpr (IsSegmented || !std::is_same_v<BucketContainer, default_container_t>) {
            for (auto&& e : m_buckets) {
                std::memset(&e, 0, sizeof(e));
            }
        } else {
            std::memset(m_buckets.data(), 0, sizeof(Bucket) * bucket_count());
        }
    }
 
    void clear_and_fill_buckets_from_values()
    {
        clear_buckets();
        for (value_idx_type value_idx = 0, end_idx = static_cast<value_idx_type>(m_values.size()); value_idx < end_idx;
             ++value_idx) {
            auto const& key = get_key(m_values[value_idx]);
            auto [dist_and_fingerprint, bucket] = next_while_less(key);
 
            // we know for certain that key has not yet been inserted, so no need to check it.
            place_and_shift_up({ dist_and_fingerprint, value_idx }, bucket);
        }
    }
 
    void increase_size()
    {
        if (m_max_bucket_capacity == max_bucket_count()) {
            // remove the value again, we can't add it!
            m_values.pop_back();
            on_error_bucket_overflow();
        }
        --m_shifts;
        if constexpr (!IsSegmented || std::is_same_v<BucketContainer, default_container_t>) {
            deallocate_buckets();
        }
        allocate_buckets_from_shift();
        clear_and_fill_buckets_from_values();
    }
 
    template <typename Op> void do_erase(value_idx_type bucket_idx, Op handle_erased_value)
    {
        auto const value_idx_to_remove = at(m_buckets, bucket_idx).m_value_idx;
 
        // shift down until either empty or an element with correct spot is found
        auto next_bucket_idx = next(bucket_idx);
        while (at(m_buckets, next_bucket_idx).m_dist_and_fingerprint >= Bucket::dist_inc * 2) {
            at(m_buckets, bucket_idx) = { dist_dec(at(m_buckets, next_bucket_idx).m_dist_and_fingerprint),
                                          at(m_buckets, next_bucket_idx).m_value_idx };
            bucket_idx = std::exchange(next_bucket_idx, next(next_bucket_idx));
        }
        at(m_buckets, bucket_idx) = {};
        handle_erased_value(std::move(m_values[value_idx_to_remove]));
 
        // update m_values
        if (value_idx_to_remove != m_values.size() - 1) {
            // no luck, we'll have to replace the value with the last one and update the index accordingly
            auto& val = m_values[value_idx_to_remove];
            val = std::move(m_values.back());
 
            // update the values_idx of the moved entry. No need to play the info game, just look until we find the
            // values_idx
            auto mh = mixed_hash(get_key(val));
            bucket_idx = bucket_idx_from_hash(mh);
 
            auto const values_idx_back = static_cast<value_idx_type>(m_values.size() - 1);
            while (values_idx_back != at(m_buckets, bucket_idx).m_value_idx) {
                bucket_idx = next(bucket_idx);
            }
            at(m_buckets, bucket_idx).m_value_idx = value_idx_to_remove;
        }
        m_values.pop_back();
    }
 
    template <typename K, typename Op> auto do_erase_key(K&& key, Op handle_erased_value) -> size_t
    {
        if (empty()) {
            return 0;
        }
 
        auto [dist_and_fingerprint, bucket_idx] = next_while_less(key);
 
        while (dist_and_fingerprint == at(m_buckets, bucket_idx).m_dist_and_fingerprint &&
               !m_equal(key, get_key(m_values[at(m_buckets, bucket_idx).m_value_idx]))) {
            dist_and_fingerprint = dist_inc(dist_and_fingerprint);
            bucket_idx = next(bucket_idx);
        }
 
        if (dist_and_fingerprint != at(m_buckets, bucket_idx).m_dist_and_fingerprint) {
            return 0;
        }
        do_erase(bucket_idx, handle_erased_value);
        return 1;
    }
 
    template <class K, class M> auto do_insert_or_assign(K&& key, M&& mapped) -> std::pair<iterator, bool>
    {
        auto it_isinserted = try_emplace(std::forward<K>(key), std::forward<M>(mapped));
        if (!it_isinserted.second) {
            it_isinserted.first->second = std::forward<M>(mapped);
        }
        return it_isinserted;
    }
 
    template <typename... Args>
    auto do_place_element(dist_and_fingerprint_type dist_and_fingerprint, value_idx_type bucket_idx, Args&&... args)
        -> std::pair<iterator, bool>
    {
 
        // emplace the new value. If that throws an exception, no harm done; index is still in a valid state
        m_values.emplace_back(std::forward<Args>(args)...);
 
        auto value_idx = static_cast<value_idx_type>(m_values.size() - 1);
        if (ANKERL_UNORDERED_DENSE_UNLIKELY(is_full())) {
            increase_size();
        } else {
            place_and_shift_up({ dist_and_fingerprint, value_idx }, bucket_idx);
        }
 
        // place element and shift up until we find an empty spot
        return { begin() + static_cast<difference_type>(value_idx), true };
    }
 
    template <typename K, typename... Args> auto do_try_emplace(K&& key, Args&&... args) -> std::pair<iterator, bool>
    {
        auto hash = mixed_hash(key);
        auto dist_and_fingerprint = dist_and_fingerprint_from_hash(hash);
        auto bucket_idx = bucket_idx_from_hash(hash);
 
        while (true) {
            auto* bucket = &at(m_buckets, bucket_idx);
            if (dist_and_fingerprint == bucket->m_dist_and_fingerprint) {
                if (m_equal(key, get_key(m_values[bucket->m_value_idx]))) {
                    return { begin() + static_cast<difference_type>(bucket->m_value_idx), false };
                }
            } else if (dist_and_fingerprint > bucket->m_dist_and_fingerprint) {
                return do_place_element(dist_and_fingerprint,
                                        bucket_idx,
                                        std::piecewise_construct,
                                        std::forward_as_tuple(std::forward<K>(key)),
                                        std::forward_as_tuple(std::forward<Args>(args)...));
            }
            dist_and_fingerprint = dist_inc(dist_and_fingerprint);
            bucket_idx = next(bucket_idx);
        }
    }
 
    template <typename K> auto do_find(K const& key) -> iterator
    {
        if (ANKERL_UNORDERED_DENSE_UNLIKELY(empty())) {
            return end();
        }
 
        auto mh = mixed_hash(key);
        auto dist_and_fingerprint = dist_and_fingerprint_from_hash(mh);
        auto bucket_idx = bucket_idx_from_hash(mh);
        auto* bucket = &at(m_buckets, bucket_idx);
 
        // unrolled loop. *Always* check a few directly, then enter the loop. This is faster.
        if (dist_and_fingerprint == bucket->m_dist_and_fingerprint &&
            m_equal(key, get_key(m_values[bucket->m_value_idx]))) {
            return begin() + static_cast<difference_type>(bucket->m_value_idx);
        }
        dist_and_fingerprint = dist_inc(dist_and_fingerprint);
        bucket_idx = next(bucket_idx);
        bucket = &at(m_buckets, bucket_idx);
 
        if (dist_and_fingerprint == bucket->m_dist_and_fingerprint &&
            m_equal(key, get_key(m_values[bucket->m_value_idx]))) {
            return begin() + static_cast<difference_type>(bucket->m_value_idx);
        }
        dist_and_fingerprint = dist_inc(dist_and_fingerprint);
        bucket_idx = next(bucket_idx);
        bucket = &at(m_buckets, bucket_idx);
 
        while (true) {
            if (dist_and_fingerprint == bucket->m_dist_and_fingerprint) {
                if (m_equal(key, get_key(m_values[bucket->m_value_idx]))) {
                    return begin() + static_cast<difference_type>(bucket->m_value_idx);
                }
            } else if (dist_and_fingerprint > bucket->m_dist_and_fingerprint) {
                return end();
            }
            dist_and_fingerprint = dist_inc(dist_and_fingerprint);
            bucket_idx = next(bucket_idx);
            bucket = &at(m_buckets, bucket_idx);
        }
    }
 
    template <typename K> auto do_find(K const& key) const -> const_iterator
    {
        return const_cast<table*>(this)->do_find(key); // NOLINT(cppcoreguidelines-pro-type-const-cast)
    }
 
    template <typename K, typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true> auto do_at(K const& key) -> Q&
    {
        if (auto it = find(key); ANKERL_UNORDERED_DENSE_LIKELY(end() != it)) {
            return it->second;
        }
        on_error_key_not_found();
    }
 
    template <typename K, typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true>
    auto do_at(K const& key) const -> Q const&
    {
        return const_cast<table*>(this)->at(key); // NOLINT(cppcoreguidelines-pro-type-const-cast)
    }
 
  public:
    explicit table(size_t bucket_count,
                   Hash const& hash = Hash(),
                   KeyEqual const& equal = KeyEqual(),
                   allocator_type const& alloc_or_container = allocator_type())
        : m_values(alloc_or_container)
        , m_buckets(alloc_or_container)
        , m_hash(hash)
        , m_equal(equal)
    {
        if (0 != bucket_count) {
            reserve(bucket_count);
        } else {
            allocate_buckets_from_shift();
            clear_buckets();
        }
    }
 
    table()
        : table(0)
    {}
 
    table(size_t bucket_count, allocator_type const& alloc)
        : table(bucket_count, Hash(), KeyEqual(), alloc)
    {}
 
    table(size_t bucket_count, Hash const& hash, allocator_type const& alloc)
        : table(bucket_count, hash, KeyEqual(), alloc)
    {}
 
    explicit table(allocator_type const& alloc)
        : table(0, Hash(), KeyEqual(), alloc)
    {}
 
    template <class InputIt>
    table(InputIt first,
          InputIt last,
          size_type bucket_count = 0,
          Hash const& hash = Hash(),
          KeyEqual const& equal = KeyEqual(),
          allocator_type const& alloc = allocator_type())
        : table(bucket_count, hash, equal, alloc)
    {
        insert(first, last);
    }
 
    template <class InputIt>
    table(InputIt first, InputIt last, size_type bucket_count, allocator_type const& alloc)
        : table(first, last, bucket_count, Hash(), KeyEqual(), alloc)
    {}
 
    template <class InputIt>
    table(InputIt first, InputIt last, size_type bucket_count, Hash const& hash, allocator_type const& alloc)
        : table(first, last, bucket_count, hash, KeyEqual(), alloc)
    {}
 
    table(table const& other)
        : table(other, other.m_values.get_allocator())
    {}
 
    table(table const& other, allocator_type const& alloc)
        : m_values(other.m_values, alloc)
        , m_max_load_factor(other.m_max_load_factor)
        , m_hash(other.m_hash)
        , m_equal(other.m_equal)
    {
        copy_buckets(other);
    }
 
    table(table&& other) noexcept
        : table(std::move(other), other.m_values.get_allocator())
    {}
 
    table(table&& other, allocator_type const& alloc) noexcept
        : m_values(alloc)
    {
        *this = std::move(other);
    }
 
    table(std::initializer_list<value_type> ilist,
          size_t bucket_count = 0,
          Hash const& hash = Hash(),
          KeyEqual const& equal = KeyEqual(),
          allocator_type const& alloc = allocator_type())
        : table(bucket_count, hash, equal, alloc)
    {
        insert(ilist);
    }
 
    table(std::initializer_list<value_type> ilist, size_type bucket_count, allocator_type const& alloc)
        : table(ilist, bucket_count, Hash(), KeyEqual(), alloc)
    {}
 
    table(std::initializer_list<value_type> init, size_type bucket_count, Hash const& hash, allocator_type const& alloc)
        : table(init, bucket_count, hash, KeyEqual(), alloc)
    {}
 
    ~table() {}
 
    auto operator=(table const& other) -> table&
    {
        if (&other != this) {
            deallocate_buckets(); // deallocate before m_values is set (might have another allocator)
            m_values = other.m_values;
            m_max_load_factor = other.m_max_load_factor;
            m_hash = other.m_hash;
            m_equal = other.m_equal;
            m_shifts = initial_shifts;
            copy_buckets(other);
        }
        return *this;
    }
 
    auto operator=(table&& other) noexcept(noexcept(std::is_nothrow_move_assignable_v<value_container_type> &&
                                                    std::is_nothrow_move_assignable_v<Hash> &&
                                                    std::is_nothrow_move_assignable_v<KeyEqual>)) -> table&
    {
        if (&other != this) {
            deallocate_buckets(); // deallocate before m_values is set (might have another allocator)
            m_values = std::move(other.m_values);
            other.m_values.clear();
 
            // we can only reuse m_buckets when both maps have the same allocator!
            if (get_allocator() == other.get_allocator()) {
                m_buckets = std::move(other.m_buckets);
                other.m_buckets.clear();
                m_max_bucket_capacity = std::exchange(other.m_max_bucket_capacity, 0);
                m_shifts = std::exchange(other.m_shifts, initial_shifts);
                m_max_load_factor = std::exchange(other.m_max_load_factor, default_max_load_factor);
                m_hash = std::exchange(other.m_hash, {});
                m_equal = std::exchange(other.m_equal, {});
                other.allocate_buckets_from_shift();
                other.clear_buckets();
            } else {
                // set max_load_factor *before* copying the other's buckets, so we have the same
                // behavior
                m_max_load_factor = other.m_max_load_factor;
 
                // copy_buckets sets m_buckets, m_num_buckets, m_max_bucket_capacity, m_shifts
                copy_buckets(other);
                // clear's the other's buckets so other is now already usable.
                other.clear_buckets();
                m_hash = other.m_hash;
                m_equal = other.m_equal;
            }
            // map "other" is now already usable, it's empty.
        }
        return *this;
    }
 
    auto operator=(std::initializer_list<value_type> ilist) -> table&
    {
        clear();
        insert(ilist);
        return *this;
    }
 
    auto get_allocator() const noexcept -> allocator_type { return m_values.get_allocator(); }
 
    // iterators //////////////////////////////////////////////////////////////
 
    auto begin() noexcept -> iterator { return m_values.begin(); }
 
    auto begin() const noexcept -> const_iterator { return m_values.begin(); }
 
    auto cbegin() const noexcept -> const_iterator { return m_values.cbegin(); }
 
    auto end() noexcept -> iterator { return m_values.end(); }
 
    auto cend() const noexcept -> const_iterator { return m_values.cend(); }
 
    auto end() const noexcept -> const_iterator { return m_values.end(); }
 
    // capacity ///////////////////////////////////////////////////////////////
 
    [[nodiscard]] auto empty() const noexcept -> bool { return m_values.empty(); }
 
    [[nodiscard]] auto size() const noexcept -> size_t { return m_values.size(); }
 
    [[nodiscard]] static constexpr auto max_size() noexcept -> size_t
    {
        if constexpr ((std::numeric_limits<value_idx_type>::max)() == (std::numeric_limits<size_t>::max)()) {
            return size_t{ 1 } << (sizeof(value_idx_type) * 8 - 1);
        } else {
            return size_t{ 1 } << (sizeof(value_idx_type) * 8);
        }
    }
 
    // modifiers //////////////////////////////////////////////////////////////
 
    void clear()
    {
        m_values.clear();
        clear_buckets();
    }
 
    auto insert(value_type const& value) -> std::pair<iterator, bool> { return emplace(value); }
 
    auto insert(value_type&& value) -> std::pair<iterator, bool> { return emplace(std::move(value)); }
 
    template <class P, std::enable_if_t<std::is_constructible_v<value_type, P&&>, bool> = true>
    auto insert(P&& value) -> std::pair<iterator, bool>
    {
        return emplace(std::forward<P>(value));
    }
 
    auto insert(const_iterator /*hint*/, value_type const& value) -> iterator { return insert(value).first; }
 
    auto insert(const_iterator /*hint*/, value_type&& value) -> iterator { return insert(std::move(value)).first; }
 
    template <class P, std::enable_if_t<std::is_constructible_v<value_type, P&&>, bool> = true>
    auto insert(const_iterator /*hint*/, P&& value) -> iterator
    {
        return insert(std::forward<P>(value)).first;
    }
 
    template <class InputIt> void insert(InputIt first, InputIt last)
    {
        while (first != last) {
            insert(*first);
            ++first;
        }
    }
 
    void insert(std::initializer_list<value_type> ilist) { insert(ilist.begin(), ilist.end()); }
 
    // nonstandard API: *this is emptied.
    // Also see "A Standard flat_map" https://www.open-std.org/jtc1/sc22/wg21/docs/papers/2022/p0429r9.pdf
    auto extract() && -> value_container_type { return std::move(m_values); }
 
    // nonstandard API:
    // Discards the internally held container and replaces it with the one passed. Erases non-unique elements.
    auto replace(value_container_type&& container)
    {
        if (ANKERL_UNORDERED_DENSE_UNLIKELY(container.size() > max_size())) {
            on_error_too_many_elements();
        }
        auto shifts = calc_shifts_for_size(container.size());
        if (0 == bucket_count() || shifts < m_shifts || container.get_allocator() != m_values.get_allocator()) {
            m_shifts = shifts;
            deallocate_buckets();
            allocate_buckets_from_shift();
        }
        clear_buckets();
 
        m_values = std::move(container);
 
        // can't use clear_and_fill_buckets_from_values() because container elements might not be unique
        auto value_idx = value_idx_type{};
 
        // loop until we reach the end of the container. duplicated entries will be replaced with back().
        while (value_idx != static_cast<value_idx_type>(m_values.size())) {
            auto const& key = get_key(m_values[value_idx]);
 
            auto hash = mixed_hash(key);
            auto dist_and_fingerprint = dist_and_fingerprint_from_hash(hash);
            auto bucket_idx = bucket_idx_from_hash(hash);
 
            bool key_found = false;
            while (true) {
                auto const& bucket = at(m_buckets, bucket_idx);
                if (dist_and_fingerprint > bucket.m_dist_and_fingerprint) {
                    break;
                }
                if (dist_and_fingerprint == bucket.m_dist_and_fingerprint &&
                    m_equal(key, get_key(m_values[bucket.m_value_idx]))) {
                    key_found = true;
                    break;
                }
                dist_and_fingerprint = dist_inc(dist_and_fingerprint);
                bucket_idx = next(bucket_idx);
            }
 
            if (key_found) {
                if (value_idx != static_cast<value_idx_type>(m_values.size() - 1)) {
                    m_values[value_idx] = std::move(m_values.back());
                }
                m_values.pop_back();
            } else {
                place_and_shift_up({ dist_and_fingerprint, value_idx }, bucket_idx);
                ++value_idx;
            }
        }
    }
 
    template <class M, typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true>
    auto insert_or_assign(Key const& key, M&& mapped) -> std::pair<iterator, bool>
    {
        return do_insert_or_assign(key, std::forward<M>(mapped));
    }
 
    template <class M, typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true>
    auto insert_or_assign(Key&& key, M&& mapped) -> std::pair<iterator, bool>
    {
        return do_insert_or_assign(std::move(key), std::forward<M>(mapped));
    }
 
    template <typename K,
              typename M,
              typename Q = T,
              typename H = Hash,
              typename KE = KeyEqual,
              std::enable_if_t<is_map_v<Q> && is_transparent_v<H, KE>, bool> = true>
    auto insert_or_assign(K&& key, M&& mapped) -> std::pair<iterator, bool>
    {
        return do_insert_or_assign(std::forward<K>(key), std::forward<M>(mapped));
    }
 
    template <class M, typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true>
    auto insert_or_assign(const_iterator /*hint*/, Key const& key, M&& mapped) -> iterator
    {
        return do_insert_or_assign(key, std::forward<M>(mapped)).first;
    }
 
    template <class M, typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true>
    auto insert_or_assign(const_iterator /*hint*/, Key&& key, M&& mapped) -> iterator
    {
        return do_insert_or_assign(std::move(key), std::forward<M>(mapped)).first;
    }
 
    template <typename K,
              typename M,
              typename Q = T,
              typename H = Hash,
              typename KE = KeyEqual,
              std::enable_if_t<is_map_v<Q> && is_transparent_v<H, KE>, bool> = true>
    auto insert_or_assign(const_iterator /*hint*/, K&& key, M&& mapped) -> iterator
    {
        return do_insert_or_assign(std::forward<K>(key), std::forward<M>(mapped)).first;
    }
 
    // Single arguments for unordered_set can be used without having to construct the value_type
    template <class K,
              typename Q = T,
              typename H = Hash,
              typename KE = KeyEqual,
              std::enable_if_t<!is_map_v<Q> && is_transparent_v<H, KE>, bool> = true>
    auto emplace(K&& key) -> std::pair<iterator, bool>
    {
        auto hash = mixed_hash(key);
        auto dist_and_fingerprint = dist_and_fingerprint_from_hash(hash);
        auto bucket_idx = bucket_idx_from_hash(hash);
 
        while (dist_and_fingerprint <= at(m_buckets, bucket_idx).m_dist_and_fingerprint) {
            if (dist_and_fingerprint == at(m_buckets, bucket_idx).m_dist_and_fingerprint &&
                m_equal(key, m_values[at(m_buckets, bucket_idx).m_value_idx])) {
                // found it, return without ever actually creating anything
                return { begin() + static_cast<difference_type>(at(m_buckets, bucket_idx).m_value_idx), false };
            }
            dist_and_fingerprint = dist_inc(dist_and_fingerprint);
            bucket_idx = next(bucket_idx);
        }
 
        // value is new, insert element first, so when exception happens we are in a valid state
        return do_place_element(dist_and_fingerprint, bucket_idx, std::forward<K>(key));
    }
 
    template <class... Args> auto emplace(Args&&... args) -> std::pair<iterator, bool>
    {
        // we have to instantiate the value_type to be able to access the key.
        // 1. emplace_back the object so it is constructed. 2. If the key is already there, pop it later in the loop.
        auto& key = get_key(m_values.emplace_back(std::forward<Args>(args)...));
        auto hash = mixed_hash(key);
        auto dist_and_fingerprint = dist_and_fingerprint_from_hash(hash);
        auto bucket_idx = bucket_idx_from_hash(hash);
 
        while (dist_and_fingerprint <= at(m_buckets, bucket_idx).m_dist_and_fingerprint) {
            if (dist_and_fingerprint == at(m_buckets, bucket_idx).m_dist_and_fingerprint &&
                m_equal(key, get_key(m_values[at(m_buckets, bucket_idx).m_value_idx]))) {
                m_values.pop_back(); // value was already there, so get rid of it
                return { begin() + static_cast<difference_type>(at(m_buckets, bucket_idx).m_value_idx), false };
            }
            dist_and_fingerprint = dist_inc(dist_and_fingerprint);
            bucket_idx = next(bucket_idx);
        }
 
        // value is new, place the bucket and shift up until we find an empty spot
        auto value_idx = static_cast<value_idx_type>(m_values.size() - 1);
        if (ANKERL_UNORDERED_DENSE_UNLIKELY(is_full())) {
            // increase_size just rehashes all the data we have in m_values
            increase_size();
        } else {
            // place element and shift up until we find an empty spot
            place_and_shift_up({ dist_and_fingerprint, value_idx }, bucket_idx);
        }
        return { begin() + static_cast<difference_type>(value_idx), true };
    }
 
    template <class... Args> auto emplace_hint(const_iterator /*hint*/, Args&&... args) -> iterator
    {
        return emplace(std::forward<Args>(args)...).first;
    }
 
    template <class... Args, typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true>
    auto try_emplace(Key const& key, Args&&... args) -> std::pair<iterator, bool>
    {
        return do_try_emplace(key, std::forward<Args>(args)...);
    }
 
    template <class... Args, typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true>
    auto try_emplace(Key&& key, Args&&... args) -> std::pair<iterator, bool>
    {
        return do_try_emplace(std::move(key), std::forward<Args>(args)...);
    }
 
    template <class... Args, typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true>
    auto try_emplace(const_iterator /*hint*/, Key const& key, Args&&... args) -> iterator
    {
        return do_try_emplace(key, std::forward<Args>(args)...).first;
    }
 
    template <class... Args, typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true>
    auto try_emplace(const_iterator /*hint*/, Key&& key, Args&&... args) -> iterator
    {
        return do_try_emplace(std::move(key), std::forward<Args>(args)...).first;
    }
 
    template <typename K,
              typename... Args,
              typename Q = T,
              typename H = Hash,
              typename KE = KeyEqual,
              std::enable_if_t<is_map_v<Q> && is_transparent_v<H, KE> &&
                                   is_neither_convertible_v<K&&, iterator, const_iterator>,
                               bool> = true>
    auto try_emplace(K&& key, Args&&... args) -> std::pair<iterator, bool>
    {
        return do_try_emplace(std::forward<K>(key), std::forward<Args>(args)...);
    }
 
    template <typename K,
              typename... Args,
              typename Q = T,
              typename H = Hash,
              typename KE = KeyEqual,
              std::enable_if_t<is_map_v<Q> && is_transparent_v<H, KE> &&
                                   is_neither_convertible_v<K&&, iterator, const_iterator>,
                               bool> = true>
    auto try_emplace(const_iterator /*hint*/, K&& key, Args&&... args) -> iterator
    {
        return do_try_emplace(std::forward<K>(key), std::forward<Args>(args)...).first;
    }
 
    auto erase(iterator it) -> iterator
    {
        auto hash = mixed_hash(get_key(*it));
        auto bucket_idx = bucket_idx_from_hash(hash);
 
        auto const value_idx_to_remove = static_cast<value_idx_type>(it - cbegin());
        while (at(m_buckets, bucket_idx).m_value_idx != value_idx_to_remove) {
            bucket_idx = next(bucket_idx);
        }
 
        do_erase(bucket_idx, [](value_type&& /*unused*/) {});
        return begin() + static_cast<difference_type>(value_idx_to_remove);
    }
 
    auto extract(iterator it) -> value_type
    {
        auto hash = mixed_hash(get_key(*it));
        auto bucket_idx = bucket_idx_from_hash(hash);
 
        auto const value_idx_to_remove = static_cast<value_idx_type>(it - cbegin());
        while (at(m_buckets, bucket_idx).m_value_idx != value_idx_to_remove) {
            bucket_idx = next(bucket_idx);
        }
 
        auto tmp = std::optional<value_type>{};
        do_erase(bucket_idx, [&tmp](value_type&& val) { tmp = std::move(val); });
        return std::move(tmp).value();
    }
 
    template <typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true> auto erase(const_iterator it) -> iterator
    {
        return erase(begin() + (it - cbegin()));
    }
 
    template <typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true> auto extract(const_iterator it) -> value_type
    {
        return extract(begin() + (it - cbegin()));
    }
 
    auto erase(const_iterator first, const_iterator last) -> iterator
    {
        auto const idx_first = first - cbegin();
        auto const idx_last = last - cbegin();
        auto const first_to_last = std::distance(first, last);
        auto const last_to_end = std::distance(last, cend());
 
        // remove elements from left to right which moves elements from the end back
        auto const mid = idx_first + (std::min)(first_to_last, last_to_end);
        auto idx = idx_first;
        while (idx != mid) {
            erase(begin() + idx);
            ++idx;
        }
 
        // all elements from the right are moved, now remove the last element until all done
        idx = idx_last;
        while (idx != mid) {
            --idx;
            erase(begin() + idx);
        }
 
        return begin() + idx_first;
    }
 
    auto erase(Key const& key) -> size_t
    {
        return do_erase_key(key, [](value_type&& /*unused*/) {});
    }
 
    auto extract(Key const& key) -> std::optional<value_type>
    {
        auto tmp = std::optional<value_type>{};
        do_erase_key(key, [&tmp](value_type&& val) { tmp = std::move(val); });
        return tmp;
    }
 
    template <class K, class H = Hash, class KE = KeyEqual, std::enable_if_t<is_transparent_v<H, KE>, bool> = true>
    auto erase(K&& key) -> size_t
    {
        return do_erase_key(std::forward<K>(key), [](value_type&& /*unused*/) {});
    }
 
    template <class K, class H = Hash, class KE = KeyEqual, std::enable_if_t<is_transparent_v<H, KE>, bool> = true>
    auto extract(K&& key) -> std::optional<value_type>
    {
        auto tmp = std::optional<value_type>{};
        do_erase_key(std::forward<K>(key), [&tmp](value_type&& val) { tmp = std::move(val); });
        return tmp;
    }
 
    void swap(table& other) noexcept(noexcept(std::is_nothrow_swappable_v<value_container_type> &&
                                              std::is_nothrow_swappable_v<Hash> &&
                                              std::is_nothrow_swappable_v<KeyEqual>))
    {
        using std::swap;
        swap(other, *this);
    }
 
    // lookup /////////////////////////////////////////////////////////////////
 
    template <typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true> auto at(key_type const& key) -> Q&
    {
        return do_at(key);
    }
 
    template <typename K,
              typename Q = T,
              typename H = Hash,
              typename KE = KeyEqual,
              std::enable_if_t<is_map_v<Q> && is_transparent_v<H, KE>, bool> = true>
    auto at(K const& key) -> Q&
    {
        return do_at(key);
    }
 
    template <typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true> auto at(key_type const& key) const -> Q const&
    {
        return do_at(key);
    }
 
    template <typename K,
              typename Q = T,
              typename H = Hash,
              typename KE = KeyEqual,
              std::enable_if_t<is_map_v<Q> && is_transparent_v<H, KE>, bool> = true>
    auto at(K const& key) const -> Q const&
    {
        return do_at(key);
    }
 
    template <typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true> auto operator[](Key const& key) -> Q&
    {
        return try_emplace(key).first->second;
    }
 
    template <typename Q = T, std::enable_if_t<is_map_v<Q>, bool> = true> auto operator[](Key&& key) -> Q&
    {
        return try_emplace(std::move(key)).first->second;
    }
 
    template <typename K,
              typename Q = T,
              typename H = Hash,
              typename KE = KeyEqual,
              std::enable_if_t<is_map_v<Q> && is_transparent_v<H, KE>, bool> = true>
    auto operator[](K&& key) -> Q&
    {
        return try_emplace(std::forward<K>(key)).first->second;
    }
 
    auto count(Key const& key) const -> size_t { return find(key) == end() ? 0 : 1; }
 
    template <class K, class H = Hash, class KE = KeyEqual, std::enable_if_t<is_transparent_v<H, KE>, bool> = true>
    auto count(K const& key) const -> size_t
    {
        return find(key) == end() ? 0 : 1;
    }
 
    auto find(Key const& key) -> iterator { return do_find(key); }
 
    auto find(Key const& key) const -> const_iterator { return do_find(key); }
 
    template <class K, class H = Hash, class KE = KeyEqual, std::enable_if_t<is_transparent_v<H, KE>, bool> = true>
    auto find(K const& key) -> iterator
    {
        return do_find(key);
    }
 
    template <class K, class H = Hash, class KE = KeyEqual, std::enable_if_t<is_transparent_v<H, KE>, bool> = true>
    auto find(K const& key) const -> const_iterator
    {
        return do_find(key);
    }
 
    auto contains(Key const& key) const -> bool { return find(key) != end(); }
 
    template <class K, class H = Hash, class KE = KeyEqual, std::enable_if_t<is_transparent_v<H, KE>, bool> = true>
    auto contains(K const& key) const -> bool
    {
        return find(key) != end();
    }
 
    auto equal_range(Key const& key) -> std::pair<iterator, iterator>
    {
        auto it = do_find(key);
        return { it, it == end() ? end() : it + 1 };
    }
 
    auto equal_range(const Key& key) const -> std::pair<const_iterator, const_iterator>
    {
        auto it = do_find(key);
        return { it, it == end() ? end() : it + 1 };
    }
 
    template <class K, class H = Hash, class KE = KeyEqual, std::enable_if_t<is_transparent_v<H, KE>, bool> = true>
    auto equal_range(K const& key) -> std::pair<iterator, iterator>
    {
        auto it = do_find(key);
        return { it, it == end() ? end() : it + 1 };
    }
 
    template <class K, class H = Hash, class KE = KeyEqual, std::enable_if_t<is_transparent_v<H, KE>, bool> = true>
    auto equal_range(K const& key) const -> std::pair<const_iterator, const_iterator>
    {
        auto it = do_find(key);
        return { it, it == end() ? end() : it + 1 };
    }
 
    // bucket interface ///////////////////////////////////////////////////////
 
    auto bucket_count() const noexcept -> size_t
    { // NOLINT(modernize-use-nodiscard)
        return m_buckets.size();
    }
 
    static constexpr auto max_bucket_count() noexcept -> size_t
    { // NOLINT(modernize-use-nodiscard)
        return max_size();
    }
 
    // hash policy ////////////////////////////////////////////////////////////
 
    [[nodiscard]] auto load_factor() const -> float
    {
        return bucket_count() ? static_cast<float>(size()) / static_cast<float>(bucket_count()) : 0.0F;
    }
 
    [[nodiscard]] auto max_load_factor() const -> float { return m_max_load_factor; }
 
    void max_load_factor(float ml)
    {
        m_max_load_factor = ml;
        if (bucket_count() != max_bucket_count()) {
            m_max_bucket_capacity = static_cast<value_idx_type>(static_cast<float>(bucket_count()) * max_load_factor());
        }
    }
 
    void rehash(size_t count)
    {
        count = (std::min)(count, max_size());
        auto shifts = calc_shifts_for_size((std::max)(count, size()));
        if (shifts != m_shifts) {
            m_shifts = shifts;
            deallocate_buckets();
            m_values.shrink_to_fit();
            allocate_buckets_from_shift();
            clear_and_fill_buckets_from_values();
        }
    }
 
    void reserve(size_t capa)
    {
        capa = (std::min)(capa, max_size());
        if constexpr (has_reserve<value_container_type>) {
            // std::deque doesn't have reserve(). Make sure we only call when available
            m_values.reserve(capa);
        }
        auto shifts = calc_shifts_for_size((std::max)(capa, size()));
        if (0 == bucket_count() || shifts < m_shifts) {
            m_shifts = shifts;
            deallocate_buckets();
            allocate_buckets_from_shift();
            clear_and_fill_buckets_from_values();
        }
    }
 
    // observers //////////////////////////////////////////////////////////////
 
    auto hash_function() const -> hasher { return m_hash; }
 
    auto key_eq() const -> key_equal { return m_equal; }
 
    // nonstandard API: expose the underlying values container
    [[nodiscard]] auto values() const noexcept -> value_container_type const& { return m_values; }
 
    // non-member functions ///////////////////////////////////////////////////
 
    friend auto operator==(table const& a, table const& b) -> bool
    {
        if (&a == &b) {
            return true;
        }
        if (a.size() != b.size()) {
            return false;
        }
        for (auto const& b_entry : b) {
            auto it = a.find(get_key(b_entry));
            if constexpr (is_map_v<T>) {
                // map: check that key is here, then also check that value is the same
                if (a.end() == it || !(b_entry.second == it->second)) {
                    return false;
                }
            } else {
                // set: only check that the key is here
                if (a.end() == it) {
                    return false;
                }
            }
        }
        return true;
    }
 
    friend auto operator!=(table const& a, table const& b) -> bool { return !(a == b); }
};
 
} // namespace detail
 
ANKERL_UNORDERED_DENSE_EXPORT template <class Key,
                                        class T,
                                        class Hash = hash<Key>,
                                        class KeyEqual = std::equal_to<Key>,
                                        class AllocatorOrContainer = std::allocator<std::pair<Key, T>>,
                                        class Bucket = bucket_type::standard,
                                        class BucketContainer = detail::default_container_t>
using map = detail::table<Key, T, Hash, KeyEqual, AllocatorOrContainer, Bucket, BucketContainer, false>;
 
ANKERL_UNORDERED_DENSE_EXPORT template <class Key,
                                        class T,
                                        class Hash = hash<Key>,
                                        class KeyEqual = std::equal_to<Key>,
                                        class AllocatorOrContainer = std::allocator<std::pair<Key, T>>,
                                        class Bucket = bucket_type::standard,
                                        class BucketContainer = detail::default_container_t>
using segmented_map = detail::table<Key, T, Hash, KeyEqual, AllocatorOrContainer, Bucket, BucketContainer, true>;
 
ANKERL_UNORDERED_DENSE_EXPORT template <class Key,
                                        class Hash = hash<Key>,
                                        class KeyEqual = std::equal_to<Key>,
                                        class AllocatorOrContainer = std::allocator<Key>,
                                        class Bucket = bucket_type::standard,
                                        class BucketContainer = detail::default_container_t>
using set = detail::table<Key, void, Hash, KeyEqual, AllocatorOrContainer, Bucket, BucketContainer, false>;
 
ANKERL_UNORDERED_DENSE_EXPORT template <class Key,
                                        class Hash = hash<Key>,
                                        class KeyEqual = std::equal_to<Key>,
                                        class AllocatorOrContainer = std::allocator<Key>,
                                        class Bucket = bucket_type::standard,
                                        class BucketContainer = detail::default_container_t>
using segmented_set = detail::table<Key, void, Hash, KeyEqual, AllocatorOrContainer, Bucket, BucketContainer, true>;
 
#if defined(ANKERL_UNORDERED_DENSE_PMR)
 
namespace pmr {
 
ANKERL_UNORDERED_DENSE_EXPORT template <class Key,
                                        class T,
                                        class Hash = hash<Key>,
                                        class KeyEqual = std::equal_to<Key>,
                                        class Bucket = bucket_type::standard>
using map = detail::table<Key,
                          T,
                          Hash,
                          KeyEqual,
                          ANKERL_UNORDERED_DENSE_PMR::polymorphic_allocator<std::pair<Key, T>>,
                          Bucket,
                          detail::default_container_t,
                          false>;
 
ANKERL_UNORDERED_DENSE_EXPORT template <class Key,
                                        class T,
                                        class Hash = hash<Key>,
                                        class KeyEqual = std::equal_to<Key>,
                                        class Bucket = bucket_type::standard>
using segmented_map = detail::table<Key,
                                    T,
                                    Hash,
                                    KeyEqual,
                                    ANKERL_UNORDERED_DENSE_PMR::polymorphic_allocator<std::pair<Key, T>>,
                                    Bucket,
                                    detail::default_container_t,
                                    true>;
 
ANKERL_UNORDERED_DENSE_EXPORT template <class Key,
                                        class Hash = hash<Key>,
                                        class KeyEqual = std::equal_to<Key>,
                                        class Bucket = bucket_type::standard>
using set = detail::table<Key,
                          void,
                          Hash,
                          KeyEqual,
                          ANKERL_UNORDERED_DENSE_PMR::polymorphic_allocator<Key>,
                          Bucket,
                          detail::default_container_t,
                          false>;
 
ANKERL_UNORDERED_DENSE_EXPORT template <class Key,
                                        class Hash = hash<Key>,
                                        class KeyEqual = std::equal_to<Key>,
                                        class Bucket = bucket_type::standard>
using segmented_set = detail::table<Key,
                                    void,
                                    Hash,
                                    KeyEqual,
                                    ANKERL_UNORDERED_DENSE_PMR::polymorphic_allocator<Key>,
                                    Bucket,
                                    detail::default_container_t,
                                    true>;
 
} // namespace pmr
 
#endif
 
// deduction guides ///////////////////////////////////////////////////////////
 
// deduction guides for alias templates are only possible since C++20
// see https://en.cppreference.com/w/cpp/language/class_template_argument_deduction
 
} // namespace ANKERL_UNORDERED_DENSE_NAMESPACE
} // namespace ankerl::unordered_dense
 
// std extensions /////////////////////////////////////////////////////////////
 
namespace std { // NOLINT(cert-dcl58-cpp)
 
ANKERL_UNORDERED_DENSE_EXPORT template <class Key,
                                        class T,
                                        class Hash,
                                        class KeyEqual,
                                        class AllocatorOrContainer,
                                        class Bucket,
                                        class Pred,
                                        class BucketContainer,
                                        bool IsSegmented>
// NOLINTNEXTLINE(cert-dcl58-cpp)
auto erase_if(ankerl::unordered_dense::detail::
                  table<Key, T, Hash, KeyEqual, AllocatorOrContainer, Bucket, BucketContainer, IsSegmented>& map,
              Pred pred) -> size_t
{
    using map_t = ankerl::unordered_dense::detail::
        table<Key, T, Hash, KeyEqual, AllocatorOrContainer, Bucket, BucketContainer, IsSegmented>;
 
    // going back to front because erase() invalidates the end iterator
    auto const old_size = map.size();
    auto idx = old_size;
    while (idx) {
        --idx;
        auto it = map.begin() + static_cast<typename map_t::difference_type>(idx);
        if (pred(*it)) {
            map.erase(it);
        }
    }
 
    return old_size - map.size();
}
 
} // namespace std
 
#endif
#endif