path: root/include/jau/cow_darray.hpp

/*
 * Author: Sven Gothel <sgothel@jausoft.com>
 * Copyright (c) 2020 Gothel Software e.K.
 *
 * 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 JAU_COW_DARRAY_HPP_
#define JAU_COW_DARRAY_HPP_

#include <cstring>
#include <string>
#include <cstdint>
#include <limits>
#include <atomic>
#include <memory>
#include <mutex>
#include <condition_variable>
#include <algorithm>

#include <jau/cpp_lang_util.hpp>
#include <jau/debug.hpp>
#include <jau/darray.hpp>
#include <jau/basic_types.hpp>
#include <jau/ordered_atomic.hpp>
#include <jau/cow_iterator.hpp>
#include <jau/callocator.hpp>

namespace jau {

    /**
     * Implementation of a Copy-On-Write (CoW) using jau::darray as the underlying storage,
     * exposing <i>lock-free</i> read operations using SC-DRF atomic synchronization.
     * <p>
     * This class shall be compliant with <i>C++ named requirements for Container</i>.
     * </p>
     * <p>
     * The store is owned using a shared reference to the data structure,
     * allowing its replacement on Copy-On-Write (CoW).
     * </p>
     * <p>
     * Writing to the store utilizes a mutex lock to avoid data races
     * on the instances' write operations only, leaving read operations <i>lock-free</i>.<br>
     * Write operations replace the store reference with a new instance using
     * jau::sc_atomic_critical to synchronize with read operations.
     * </p>
     * <p>
     * Reading from the store is <i>lock-free</i> and accesses the store reference using
     * jau::sc_atomic_critical to synchronizing with write operations.
     * </p>
     * <p>
     * Immutable storage const_iterators are supported via jau::cow_ro_iterator,
     * which are constructed <i>lock-free</i>.<br>
     * jau::cow_ro_iterator holds a snapshot retrieved via jau::cow_darray::snapshot()
     * until its destruction.
     * </p>
     * <p>
     * Mutable storage iterators are supported via jau::cow_rw_iterator,
     * which holds a copy of this CoW storage and locks its write mutex until
     * jau::cow_rw_iterator::write_back() or its destruction.<br>
     * After completing all mutable operations but before this iterator's destruction,
     * the user might want to write back this iterators' storage to this CoW
     * using jau::cow_rw_iterator::write_back().
     * </p>
     * <p>
     * Both, jau::cow_ro_iterator and jau::cow_rw_iterator are harmonized
     * to work with jau::darray::const_iterator and jau::darray::iterator
     * for all iterator based operations.
     * </p>
     * <p>
     * Index operation via ::operator[](size_t) or ::at(size_t) are not supported,
     * since they would be only valid if value_type itself is a std::shared_ptr
     * and hence prohibit the destruction of the object if mutating the storage,
     * e.g. via jau::cow_darray::push_back().
     * </p>
     * <p>
     * Custom mutable write operations are also supported via
     * jau::cow_darray::get_write_mutex(), jau::cow_darray::copy_store() and jau::cow_darray::set_store().<br>
     * See example in jau::cow_darray::set_store()
     * </p>
     * <p>
     * To allow data-race free operations using iterators from a potentially mutated CoW,
     * only one cow_darray::begin() const_iterator or iterator should be retrieved from this CoW
     * and all further operations shall use its
     * jau::cow_ro_iterator::size(), jau::cow_ro_iterator::begin() and jau::cow_ro_iterator::end()
     * - or its respective variant from jau::cow_rw_iterator.
     *
     * @anchor cow_darray_ntt_params
     * ### Non-Type Template Parameter controlling Value_type memory
     * See @ref darray_ntt_params.
     * #### use_memmove
     * `use_memmove` see @ref darray_memmove.
     * #### use_secmem
     * `use_secmem` see @ref darray_secmem.
     *
     * See also:
     * - Sequentially Consistent (SC) ordering or SC-DRF (data race free) <https://en.cppreference.com/w/cpp/atomic/memory_order#Sequentially-consistent_ordering>
     * - std::memory_order <https://en.cppreference.com/w/cpp/atomic/memory_order>
     *
     * @see jau::darray
     * @see @ref darray_ntt_params
     * @see jau::cow_ro_iterator
     * @see jau::for_each_fidelity
     * @see jau::cow_rw_iterator
     * @see jau::cow_rw_iterator::write_back()
     */
    template <typename Value_type, typename Alloc_type = jau::callocator<Value_type>, typename Size_type = jau::nsize_t,
              bool use_memmove = std::is_trivially_copyable_v<Value_type> || is_container_memmove_compliant_v<Value_type>,
              bool use_secmem  = is_enforcing_secmem_v<Value_type>
             >
    class cow_darray
    {
        public:
            /** Default growth factor using the golden ratio 1.618 */
            constexpr static const float DEFAULT_GROWTH_FACTOR = 1.618f;

            constexpr static const bool uses_memmove = use_memmove;
            constexpr static const bool uses_secmem  = use_secmem;
            constexpr static const bool uses_realloc = use_memmove && std::is_base_of_v<jau::callocator<Value_type>, Alloc_type>;

            // typedefs' for C++ named requirements: Container

            typedef Value_type                                  value_type;
            typedef value_type*                                 pointer;
            typedef const value_type*                           const_pointer;
            typedef value_type&                                 reference;
            typedef const value_type&                           const_reference;
            typedef Size_type                                   size_type;
            typedef typename std::make_signed<size_type>::type  difference_type;
            typedef Alloc_type                                  allocator_type;

            typedef darray<value_type, allocator_type,
                           size_type,
                           use_memmove, use_secmem>             storage_t;
            typedef std::shared_ptr<storage_t>                  storage_ref_t;

            /** Used to determine whether this type is a darray or has a darray, see ::is_darray_type<T> */
            typedef bool                                        darray_tag;

            typedef cow_darray<value_type, allocator_type,
                               size_type, use_memmove,
                               use_secmem>                      cow_container_t;

            /**
             * Immutable, read-only const_iterator, lock-free,
             * holding the current shared store reference until destruction.
             * <p>
             * Using jau::cow_darray::snapshot() at construction.
             * </p>
             * <p>
             * This iterator is the preferred choice if no mutations are made to the elements state
             * itself, or all changes can be discarded after the iterator's destruction.<br>
             * This avoids the costly mutex lock and storage copy of jau::cow_rw_iterator.<br>
             * Also see jau::for_each_fidelity to iterate through in this good faith fashion.
             * </p>
             * @see jau::cow_ro_iterator
             * @see jau::cow_ro_iterator::size()
             * @see jau::cow_ro_iterator::begin()
             * @see jau::cow_ro_iterator::end()
             * @see jau::for_each_fidelity
             * @see jau::cow_rw_iterator
             */
            typedef cow_ro_iterator<storage_t, storage_ref_t, cow_container_t> const_iterator;

            /**
             * Mutable, read-write iterator, holding the write-lock and a store copy until destruction.
             * <p>
             * Using jau::cow_darray::get_write_mutex(), jau::cow_darray::copy_store() at construction<br>
             * and jau::cow_darray::set_store() at destruction.
             * </p>
             * <p>
             * Due to the costly nature of mutable CoW resource management,
             * consider using jau::cow_ro_iterator if elements won't get mutated
             * or any changes can be discarded.
             * </p>
             * @see jau::cow_rw_iterator
             * @see jau::cow_rw_iterator::size()
             * @see jau::cow_rw_iterator::begin()
             * @see jau::cow_rw_iterator::end()
             * @see jau::cow_ro_iterator
             */
            typedef cow_rw_iterator<storage_t, storage_ref_t, cow_container_t> iterator;

            // typedef std::reverse_iterator<iterator>         reverse_iterator;
            // typedef std::reverse_iterator<const_iterator>   const_reverse_iterator;

        private:
            static constexpr size_type DIFF_MAX = std::numeric_limits<difference_type>::max();

            storage_ref_t store_ref;
            mutable sc_atomic_bool sync_atomic;
            mutable std::recursive_mutex mtx_write;

        public:
            // ctor w/o elements

            /**
             * Default constructor, giving almost zero capacity and zero memory footprint, but the shared empty jau::darray
             */
            constexpr cow_darray() noexcept
            : store_ref(std::make_shared<storage_t>()), sync_atomic(false) {
                JAU_DARRAY_PRINTF("ctor def: %s\n", get_info().c_str());
            }

            /**
             * Creating an empty instance with initial capacity and other (default) properties.
             * @param capacity initial capacity of the new instance.
             * @param growth_factor given growth factor
             * @param alloc given allocator_type
             */
            constexpr explicit cow_darray(size_type capacity, const float growth_factor=DEFAULT_GROWTH_FACTOR, const allocator_type& alloc = allocator_type())
            : store_ref(std::make_shared<storage_t>(capacity, growth_factor, alloc)), sync_atomic(false) {
                JAU_DARRAY_PRINTF("ctor 1: %s\n", get_info().c_str());
            }

            // conversion ctor on storage_t elements

            constexpr cow_darray(const storage_t& x)
            : store_ref(std::make_shared<storage_t>(x)), sync_atomic(false) {
                JAU_DARRAY_PRINTF("ctor copy_0: this %s\n", get_info().c_str());
                JAU_DARRAY_PRINTF("ctor copy_0:    x %s\n", x.get_info().c_str());
            }

            constexpr explicit cow_darray(const storage_t& x, const float growth_factor, const allocator_type& alloc)
            : store_ref(std::make_shared<storage_t>(x, growth_factor, alloc)), sync_atomic(false) {
                JAU_DARRAY_PRINTF("ctor copy_1: this %s\n", get_info().c_str());
                JAU_DARRAY_PRINTF("ctor copy_1:    x %s\n", x.get_info().c_str());
            }

            /**
             * Like std::vector::operator=(&), assignment, but copying from the underling jau::darray
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             */
            cow_darray& operator=(const storage_t& x) {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                JAU_DARRAY_PRINTF("assignment copy_0: this %s\n", get_info().c_str());
                JAU_DARRAY_PRINTF("assignment copy_0:    x %s\n", x.get_info().c_str());
                {
                    sc_atomic_critical sync(sync_atomic);
                    store_ref = std::move( std::make_shared<storage_t>( x ) );
                }
                return *this;
            }

            constexpr cow_darray(storage_t && x) noexcept
            : store_ref(std::make_shared<storage_t>(std::move(x))), sync_atomic(false) {
                JAU_DARRAY_PRINTF("ctor move_0: this %s\n", get_info().c_str());
                JAU_DARRAY_PRINTF("ctor move_0:    x %s\n", x.get_info().c_str());
                // Moved source array has been taken over. darray's move-operator has flushed source
            }

            constexpr explicit cow_darray(storage_t && x, const float growth_factor, const allocator_type& alloc) noexcept
            : store_ref(std::make_shared<storage_t>(std::move(x), growth_factor, alloc)), sync_atomic(false) {
                JAU_DARRAY_PRINTF("ctor move_1: this %s\n", get_info().c_str());
                JAU_DARRAY_PRINTF("ctor move_1:    x %s\n", x.get_info().c_str());
                // Moved source array has been taken over. darray's move-operator has flushed source
            }

            /**
             * Like std::vector::operator=(&&), move, but taking the underling jau::darray
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             */
            cow_darray& operator=(storage_t&& x) {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                JAU_DARRAY_PRINTF("assignment move_0: this %s\n", get_info().c_str());
                JAU_DARRAY_PRINTF("assignment move_0:    x %s\n", x.get_info().c_str());
                {
                    sc_atomic_critical sync(sync_atomic);
                    store_ref = std::move( std::make_shared<storage_t>( std::move(x) ) );
                    // Moved source array has been taken over. darray's move-operator has flushed source
                }
                return *this;
            }

            // copy_ctor on cow_darray elements

            /**
             * Creates a new instance, copying all elements from the given array.<br>
             * Capacity and size will equal the given array, i.e. the result is a trimmed array.
             * @param x the given cow_darray, all elements will be copied into the new instance.
             */
            constexpr_atomic
            cow_darray(const cow_darray& x)
            : sync_atomic(false) {
                storage_ref_t x_store_ref;
                {
                    sc_atomic_critical sync_x( x.sync_atomic );
                    JAU_DARRAY_PRINTF("ctor copy.0: this %s\n", get_info().c_str());
                    JAU_DARRAY_PRINTF("ctor copy.0:    x %s\n", x.get_info().c_str());
                    x_store_ref = x.store_ref;
                }
                store_ref = std::make_shared<storage_t>( *x_store_ref );
            }

            /**
             * Creates a new instance, copying all elements from the given array.<br>
             * Capacity and size will equal the given array, i.e. the result is a trimmed array.
             * @param x the given cow_darray, all elements will be copied into the new instance.
             * @param growth_factor custom growth factor
             * @param alloc custom allocator_type instance
             */
            constexpr_atomic
            explicit cow_darray(const cow_darray& x, const float growth_factor, const allocator_type& alloc)
            : sync_atomic(false) {
                storage_ref_t x_store_ref;
                {
                    sc_atomic_critical sync_x( x.sync_atomic );
                    JAU_DARRAY_PRINTF("ctor copy.1: this %s\n", get_info().c_str());
                    JAU_DARRAY_PRINTF("ctor copy.1:    x %s\n", x.get_info().c_str());
                    x_store_ref = x.store_ref;
                }
                store_ref = std::make_shared<storage_t>( *x_store_ref, growth_factor, alloc );
            }

            /**
             * Creates a new instance with custom initial storage capacity, copying all elements from the given array.<br>
             * Size will equal the given array.
             * <p>
             * Throws jau::IllegalArgumentException() if <code>_capacity < x.size()</code>.
             * </p>
             * @param x the given cow_darray, all elements will be copied into the new instance.
             * @param _capacity custom initial storage capacity
             * @param growth_factor custom growth factor
             * @param alloc custom allocator_type instance
             */
            constexpr_atomic
            explicit cow_darray(const cow_darray& x, const size_type _capacity, const float growth_factor, const allocator_type& alloc)
            : sync_atomic(false) {
                storage_ref_t x_store_ref;
                {
                    sc_atomic_critical sync_x( x.sync_atomic );
                    JAU_DARRAY_PRINTF("ctor copy.2: this %s\n", get_info().c_str());
                    JAU_DARRAY_PRINTF("ctor copy.2:    x %s\n", x.get_info().c_str());
                    x_store_ref = x.store_ref;
                }
                store_ref = std::make_shared<storage_t>( *x_store_ref, _capacity, growth_factor, alloc );
            }

            /**
             * Like std::vector::operator=(&), assignment
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             */
            constexpr_atomic
            cow_darray& operator=(const cow_darray& x) {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                storage_ref_t x_store_ref;
                {
                    sc_atomic_critical sync_x( x.sync_atomic );
                    JAU_DARRAY_PRINTF("assignment copy.0: this %s\n", get_info().c_str());
                    JAU_DARRAY_PRINTF("assignment copy.0:    x %s\n", x.get_info().c_str());
                    x_store_ref = x.store_ref;
                }
                storage_ref_t new_store_ref = std::make_shared<storage_t>( *x_store_ref );
                {
                    sc_atomic_critical sync(sync_atomic);
                    store_ref = std::move(new_store_ref);
                }
                return *this;
            }

            // move_ctor on cow_darray elements

            constexpr_atomic
            cow_darray(cow_darray && x) noexcept {
                // Strategy-1: Acquire lock, blocking
                // - If somebody else holds the lock, we wait.
                // - Then we own the lock
                // - Post move-op, the source object does not exist anymore
                std::unique_lock<std::recursive_mutex>  lock(x.mtx_write); // *this doesn't exist yet, not locking ourselves
                {
                    JAU_DARRAY_PRINTF("ctor move.0: this %s\n", get_info().c_str());
                    JAU_DARRAY_PRINTF("ctor move.0:    x %s\n", x.get_info().c_str());
                    store_ref = std::move(x.store_ref);
                    // sync_atomic = std::move(x.sync_atomic); // issues w/ g++ 8.3 (move marked as deleted)
                    // mtx_write will be a fresh one, but we hold the source's lock

                    // Moved source array has been taken over, null its store_ref
                    x.store_ref = nullptr;
                }
            }

            /**
             * Like std::vector::operator=(&&), move.
             * <p>
             * This write operation uses a mutex lock and is blocking both cow_vector instance's write operations.
             * </p>
             */
            constexpr_atomic
            cow_darray& operator=(cow_darray&& x) noexcept {
                // Strategy-2: Acquire locks of both, blocking
                // - If somebody else holds the lock, we wait.
                // - Then we own the lock for both instances
                // - Post move-op, the source object does not exist anymore
                std::unique_lock<std::recursive_mutex> lock1(x.mtx_write, std::defer_lock); // utilize std::lock(r, w), allowing mixed order waiting on read/write ops
                std::unique_lock<std::recursive_mutex> lock2(  mtx_write, std::defer_lock); // otherwise RAII-style relinquish via destructor
                std::lock(lock1, lock2);
                {
                    sc_atomic_critical sync_x( x.sync_atomic );
                    sc_atomic_critical sync  (   sync_atomic );
                    JAU_DARRAY_PRINTF("assignment move.0: this %s\n", get_info().c_str());
                    JAU_DARRAY_PRINTF("assignment move.0:    x %s\n", x.get_info().c_str());
                    store_ref = std::move(x.store_ref);
                    // mtx_write and the atomic will be kept as is, but we hold the source's lock

                    // Moved source array has been taken over, null its store_ref
                    x.store_ref = nullptr;
                }
                return *this;
            }

            // ctor on const_iterator and foreign template iterator

            /**
             * Creates a new instance with custom initial storage capacity,
             * copying all elements from the given const_iterator value_type range [first, last).<br>
             * Size will equal the range [first, last), i.e. <code>size_type(last-first)</code>.
             * <p>
             * Throws jau::IllegalArgumentException() if <code>_capacity < size_type(last - first)</code>.
             * </p>
             * @param _capacity custom initial storage capacity
             * @param first const_iterator to first element of value_type range [first, last)
             * @param last const_iterator to last element of value_type range [first, last)
             * @param growth_factor custom growth factor
             * @param alloc custom allocator_type instance
             */
            constexpr cow_darray(const size_type _capacity, const_iterator first, const_iterator last,
                             const float growth_factor=DEFAULT_GROWTH_FACTOR, const allocator_type& alloc = allocator_type())
            : store_ref(std::make_shared<storage_t>(_capacity, first.underling(), last.underling(), growth_factor, alloc)), sync_atomic(false)
            {
                JAU_DARRAY_PRINTF("ctor iters0: %s\n", get_info().c_str());
            }

            /**
             * Creates a new instance with custom initial storage capacity,
             * copying all elements from the given template input-iterator value_type range [first, last).<br>
             * Size will equal the range [first, last), i.e. <code>size_type(last-first)</code>.
             * <p>
             * Throws jau::IllegalArgumentException() if <code>_capacity < size_type(last - first)</code>.
             * </p>
             * @tparam InputIt template input-iterator custom type
             * @param _capacity custom initial storage capacity
             * @param first template input-iterator to first element of value_type range [first, last)
             * @param last template input-iterator to last element of value_type range [first, last)
             * @param growth_factor custom growth factor
             * @param alloc custom allocator_type instance
             */
            template< class InputIt >
            constexpr explicit cow_darray(const size_type _capacity, InputIt first, InputIt last,
                                      const float growth_factor=DEFAULT_GROWTH_FACTOR, const allocator_type& alloc = allocator_type())
            : store_ref(std::make_shared<storage_t>(_capacity, first, last, growth_factor, alloc)), sync_atomic(false)
            {
                JAU_DARRAY_PRINTF("ctor iters1: %s\n", get_info().c_str());
            }

            /**
             * Creates a new instance,
             * copying all elements from the given template input-iterator value_type range [first, last).<br>
             * Size will equal the range [first, last), i.e. <code>size_type(last-first)</code>.
             * @tparam InputIt template input-iterator custom type
             * @param first template input-iterator to first element of value_type range [first, last)
             * @param last template input-iterator to last element of value_type range [first, last)
             * @param alloc custom allocator_type instance
             */
            template< class InputIt >
            constexpr cow_darray(InputIt first, InputIt last, const allocator_type& alloc = allocator_type())
            : store_ref(std::make_shared<storage_t>(first, last, alloc)), sync_atomic(false)
            {
                JAU_DARRAY_PRINTF("ctor iters2: %s\n", get_info().c_str());
            }

            /**
             * Using the `std::initializer_list` requires to *copy* the given value_type objects into this cow_darray.
             *
             * To utilize more efficient move semantics, see push_back_list() and jau::make_cow_darray().
             *
             * @param initlist initializer_list.
             * @param alloc allocator
             * @see push_back_list()
             * @see jau::make_cow_darray()
             */
            constexpr cow_darray(std::initializer_list<value_type> initlist, const allocator_type& alloc = allocator_type())
            : store_ref(std::make_shared<storage_t>(initlist, alloc)), sync_atomic(false)
            {
                JAU_DARRAY_PRINTF("ctor initlist: %s\n", get_info().c_str());
            }


            ~cow_darray() noexcept {
                JAU_DARRAY_PRINTF("dtor: %s\n", get_info().c_str());
            }

            /**
             * Returns <code>std::numeric_limits<difference_type>::max()</code> as the maximum array size.
             * <p>
             * We rely on the signed <code>difference_type</code> for pointer arithmetic,
             * deducing ranges from iterator.
             * </p>
             */
            constexpr size_type max_size() const noexcept { return DIFF_MAX; }

            // cow_vector features

            /**
             * Returns this instances' recursive write mutex, allowing user to
             * implement more complex mutable write operations.
             * <p>
             * See example in jau::cow_darray::set_store()
             * </p>
             *
             * @see jau::cow_darray::get_write_mutex()
             * @see jau::cow_darray::copy_store()
             * @see jau::cow_darray::set_store()
             */
            constexpr std::recursive_mutex & get_write_mutex() noexcept { return mtx_write; }

            /**
             * Returns a new shared_ptr copy of the underlying store,
             * i.e. using a new copy-constructed vectore.
             * <p>
             * See example in jau::cow_darray::set_store()
             * </p>
             * <p>
             * This special operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             * @see jau::cow_darray::get_write_mutex()
             * @see jau::cow_darray::copy_store()
             * @see jau::cow_darray::set_store()
             */
            constexpr_atomic
            storage_ref_t copy_store() {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                JAU_DARRAY_PRINTF("copy_store: %s\n", get_info().c_str());
                return std::make_shared<storage_t>( *store_ref );
            }

            /**
             * Replace the current store with the given instance,
             * potentially acquired via jau::cow_darray::copy_store()
             * and mutated while holding the jau::cow_darray::get_write_mutex() lock.
             * <p>
             * This is a move operation, i.e. the given new_store_ref is invalid on the caller side
             * after this operation. <br>
             * User shall pass the store via std::move()
             * <pre>
             *     cow_darray<std::shared_ptr<Thing>> list;
             *     ...
             *     {
             *         std::lock_guard<std::recursive_mutex> lock(list.get_write_mutex());
             *         std::shared_ptr<std::vector<std::shared_ptr<Thing>>> snapshot = list.copy_store();
             *         ...
             *         some fancy mutation
             *         ...
             *         list.set_store(std::move(snapshot));
             *     }
             * </pre>
             * Above functionality is covered by jau::cow_rw_iterator, see also jau::cow_rw_iterator::write_back()
             * </p>
             * @param new_store_ref the user store to be moved here, replacing the current store.
             *
             * @see jau::cow_darray::get_write_mutex()
             * @see jau::cow_darray::copy_store()
             * @see jau::cow_darray::set_store()
             * @see jau::cow_rw_iterator
             * @see jau::cow_rw_iterator::write_back()
             */
            constexpr_atomic
            void set_store(storage_ref_t && new_store_ref) noexcept {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                sc_atomic_critical sync(sync_atomic);
#if DEBUG_DARRAY
                JAU_DARRAY_PRINTF("set_store: dest %s\n", get_info().c_str());
                JAU_DARRAY_PRINTF("set_store:  src %s\n", new_store_ref->get_info().c_str());
                jau::print_backtrace(true, 8);
#endif
                store_ref = std::move( new_store_ref );
            }

            /**
             * Returns the current snapshot of the underlying shared storage by reference.
             * <p>
             * Note that this snapshot will be outdated by the next (concurrent) write operation.<br>
             * The returned referenced vector is still valid and not mutated,
             * but does not represent the current content of this cow_darray instance.
             * </p>
             * <p>
             * This read operation is <i>lock-free</i>.
             * </p>
             */
            constexpr_atomic
            storage_ref_t snapshot() const noexcept {
                sc_atomic_critical sync( sync_atomic );
                return store_ref;
            }

            // const_iterator, non mutable, read-only

            // Removed for clarity: "constexpr const_iterator begin() const noexcept"

            /**
             * Returns an jau::cow_ro_iterator to the first element of this CoW storage.
             * <p>
             * This method is the preferred choice if the use case allows,
             * read remarks in jau::cow_ro_iterator.
             * </p>
             * <p>
             * Use jau::cow_ro_iterator::end() on this returned const_iterator
             * to retrieve the end const_iterator in a data-race free fashion.
             * </p>
             * @return jau::cow_darray::const_iterator of type jau::cow_ro_iterator
             * @see jau::cow_ro_iterator
             * @see jau::cow_ro_iterator::size()
             * @see jau::cow_ro_iterator::begin()
             * @see jau::cow_ro_iterator::end()
             * @see jau::for_each_fidelity
             */
            constexpr const_iterator cbegin() const noexcept {
                storage_ref_t sr = snapshot();
                return const_iterator(sr, sr->cbegin());
            }

            // iterator, mutable, read-write

            /**
             * Returns an jau::cow_rw_iterator to the first element of this CoW storage.
             * <p>
             * Acquiring this mutable iterator has considerable costs attached,
             * read remarks in jau::cow_rw_iterator.
             * </p>
             * <p>
             * Use jau::cow_rw_iterator::end() on this returned iterator
             * to retrieve the end iterator in a data-race free fashion.
             * </p>
             * @return jau::cow_darray::iterator of type jau::cow_rw_iterator
             * @see jau::cow_rw_iterator
             * @see jau::cow_rw_iterator::size()
             * @see jau::cow_rw_iterator::begin()
             * @see jau::cow_rw_iterator::end()
             */
            constexpr iterator begin() {
                return iterator(*this);
            }

            // read access

            const allocator_type& get_allocator_ref() const noexcept {
                sc_atomic_critical sync( sync_atomic );
                return store_ref->get_allocator_ref();
            }

            allocator_type get_allocator() const noexcept {
                sc_atomic_critical sync( sync_atomic );
                return store_ref->get_allocator();
            }

            /**
             * Returns the growth factor
             */
            constexpr_atomic
            float growth_factor() const noexcept {
                sc_atomic_critical sync( sync_atomic );
                return store_ref->growth_factor();
            }

            /**
             * Like std::vector::empty().
             * <p>
             * This read operation is <i>lock-free</i>.
             * </p>
             * @return
             */
            constexpr_atomic
            size_type capacity() const noexcept {
                sc_atomic_critical sync( sync_atomic );
                return store_ref->capacity();
            }

            /**
             * Like std::vector::empty().
             * <p>
             * This read operation is <i>lock-free</i>.
             * </p>
             */
            constexpr_atomic
            bool empty() const noexcept {
                sc_atomic_critical sync( sync_atomic );
                return store_ref->empty();
            }

            /**
             * Like std::vector::size().
             * <p>
             * This read operation is <i>lock-free</i>.
             * </p>
             */
            constexpr_atomic
            size_type size() const noexcept {
                sc_atomic_critical sync( sync_atomic );
                return store_ref->size();
            }

            // write access

            /**
             * Like std::vector::reserve(), increases this instance's capacity to <code>new_capacity</code>.
             * <p>
             * Only creates a new storage and invalidates iterators if <code>new_capacity</code>
             * is greater than the current jau::darray::capacity().
             * </p>
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             */
            void reserve(size_type new_capacity) {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                if( new_capacity > store_ref->capacity() ) {
                    storage_ref_t new_store_ref = std::make_shared<storage_t>( *store_ref, new_capacity,
                                                                               store_ref->growth_factor(),
                                                                               store_ref->get_allocator_ref() );
                    sc_atomic_critical sync( sync_atomic );
                    store_ref = std::move(new_store_ref);
                }
            }

            /**
             * Like std::vector::clear(), but ending with zero capacity.
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations.
             * </p>
             */
            constexpr_atomic
            void clear() noexcept {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                storage_ref_t new_store_ref = std::make_shared<storage_t>();
                {
                    sc_atomic_critical sync(sync_atomic);
                    store_ref = std::move(new_store_ref);
                }
            }

            /**
             * Like std::vector::swap().
             * <p>
             * This write operation uses a mutex lock and is blocking both cow_darray instance's write operations.
             * </p>
             */
            constexpr_atomic
            void swap(cow_darray& x) noexcept {
                std::unique_lock<std::recursive_mutex> lock(mtx_write, std::defer_lock); // utilize std::lock(a, b), allowing mixed order waiting on either object
                std::unique_lock<std::recursive_mutex> lock_x(x.mtx_write, std::defer_lock); // otherwise RAII-style relinquish via destructor
                std::lock(lock, lock_x);
                {
                    sc_atomic_critical sync_x( x.sync_atomic );
                    sc_atomic_critical sync(sync_atomic);
                    storage_ref_t x_store_ref = x.store_ref;
                    x.store_ref = store_ref;
                    store_ref = x_store_ref;
                }
            }

            /**
             * Like std::vector::pop_back().
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             */
            constexpr_atomic
            void pop_back() noexcept {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                if( !store_ref->empty() ) {
                    storage_ref_t new_store_ref = std::make_shared<storage_t>( store_ref->capacity(),
                                                                               store_ref->cbegin(),
                                                                               store_ref->cend()-1,
                                                                               store_ref->growth_factor(),
                                                                               store_ref->get_allocator_ref() );
                    {
                        sc_atomic_critical sync(sync_atomic);
                        store_ref = std::move(new_store_ref);
                    }
                }
            }

            /**
             * Like std::vector::push_back(), copy
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             * @param x the value to be added at the tail.
             */
            constexpr_atomic
            void push_back(const value_type& x) {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                if( store_ref->capacity_reached() ) {
                    // grow and swap all refs
                    storage_ref_t new_store_ref = std::make_shared<storage_t>( *store_ref, store_ref->get_grown_capacity(),
                                                                               store_ref->growth_factor(),
                                                                               store_ref->get_allocator_ref() );
                    new_store_ref->push_back(x);
                    {
                        sc_atomic_critical sync(sync_atomic);
                        store_ref = std::move(new_store_ref);
                    }
                } else {
                    // just append ..
                    store_ref->push_back(x);
                }
            }

            /**
             * Like std::vector::push_back(), move
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             */
            constexpr_atomic
            void push_back(value_type&& x) {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                if( store_ref->capacity_reached() ) {
                    // grow and swap all refs
                    storage_ref_t new_store_ref = std::make_shared<storage_t>( *store_ref, store_ref->get_grown_capacity(),
                                                                               store_ref->growth_factor(),
                                                                               store_ref->get_allocator_ref() );
                    new_store_ref->push_back( std::move(x) );
                    {
                        sc_atomic_critical sync(sync_atomic);
                        store_ref = std::move(new_store_ref);
                    }
                } else {
                    // just append ..
                    store_ref->push_back( std::move(x) );
                }
            }

            /**
             * Like std::vector::emplace_back(), construct a new element in place at the end().
             * <p>
             * Constructs the element at the end() using placement new.
             * </p>
             * <p>
             * size will be increased by one.
             * </p>
             * @param args arguments to forward to the constructor of the element
             */
            template<typename... Args>
            constexpr_atomic
            reference emplace_back(Args&&... args) {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                if( store_ref->capacity_reached() ) {
                    // grow and swap all refs
                    storage_ref_t new_store_ref = std::make_shared<storage_t>( *store_ref, store_ref->get_grown_capacity(),
                                                                               store_ref->growth_factor(),
                                                                               store_ref->get_allocator_ref() );
                    reference res = new_store_ref->emplace_back( std::forward<Args>(args)... );
                    {
                        sc_atomic_critical sync(sync_atomic);
                        store_ref = std::move(new_store_ref);
                    }
                    return res;
                } else {
                    // just append ..
                    return store_ref->emplace_back( std::forward<Args>(args)... );
                }
            }

            /**
             * Like std::vector::push_back(), but appends the whole value_type range [first, last).
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             * @tparam InputIt foreign input-iterator to range of value_type [first, last)
             * @param first first foreign input-iterator to range of value_type [first, last)
             * @param last last foreign input-iterator to range of value_type [first, last)
             */
            template< class InputIt >
            constexpr_atomic
            void push_back( InputIt first, InputIt last ) {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                const size_type new_size_ = store_ref->size() + size_type(last - first);

                if( new_size_ > store_ref->capacity() ) {
                    // grow and swap all refs
                    storage_ref_t new_store_ref = std::make_shared<storage_t>( *store_ref, new_size_,
                                                                               store_ref->growth_factor(),
                                                                               store_ref->get_allocator_ref() );
                    new_store_ref->push_back( first, last );
                    {
                        sc_atomic_critical sync(sync_atomic);
                        store_ref = std::move(new_store_ref);
                    }
                } else {
                    // just append ..
                    store_ref->push_back( first, last );
                }
            }

            /**
             * Like push_back(), but for more multiple const r-value to copy.
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             *
             * @tparam Args
             * @param args r-value references to copy into this storage
             */
            template <typename... Args>
            constexpr_atomic void push_back_list(const Args&... args)
            {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                const size_type new_size_ = store_ref->size() + sizeof...(Args);

                if( new_size_ > store_ref->capacity() ) {
                    // grow and swap all refs
                    storage_ref_t new_store_ref = std::make_shared<storage_t>( *store_ref, new_size_,
                                                                               store_ref->growth_factor(),
                                                                               store_ref->get_allocator_ref() );
                    // C++17 fold expression on above C++11 template pack args
                    ( new_store_ref->push_back( args ), ... ); // @suppress("Syntax error")
                    {
                        sc_atomic_critical sync(sync_atomic);
                        store_ref = std::move(new_store_ref);
                    }
                } else {
                    // just append ..
                    // C++17 fold expression on above C++11 template pack args
                    ( store_ref->push_back( args ), ... ); // @suppress("Syntax error")
                }
            }

            /**
             * Like push_back(), but for more multiple r-value references to move.
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             *
             * @tparam Args
             * @param args r-value references to move into this storage
             * @see jau::make_cow_darray()
             */
            template <typename... Args>
            constexpr_atomic void push_back_list(Args&&... args)
            {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                const size_type new_size_ = store_ref->size() + sizeof...(Args);

                if( new_size_ > store_ref->capacity() ) {
                    // grow and swap all refs
                    storage_ref_t new_store_ref = std::make_shared<storage_t>( *store_ref, new_size_,
                                                                               store_ref->growth_factor(),
                                                                               store_ref->get_allocator_ref() );
                    // C++17 fold expression on above C++11 template pack args
                    ( new_store_ref->push_back( std::move(args) ), ... ); // @suppress("Syntax error")
                    {
                        sc_atomic_critical sync(sync_atomic);
                        store_ref = std::move(new_store_ref);
                    }
                } else {
                    // just append ..
                    // C++17 fold expression on above C++11 template pack args
                    ( store_ref->push_back( std::move(args) ), ... ); // @suppress("Syntax error")
                }
            }

            /**
             * Generic value_type equal comparator to be user defined for e.g. jau::cow_darray::push_back_unique().
             * @param a one element of the equality test.
             * @param b the other element of the equality test.
             * @return true if both are equal
             */
            typedef bool(*equal_comparator)(const value_type& a, const value_type& b);

            /**
             * Like std::vector::push_back(), but only if the newly added element does not yet exist.
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             * <p>
             * Examples
             * <pre>
             *     static jau::cow_darray<Thing>::equal_comparator thingEqComparator =
             *                  [](const Thing &a, const Thing &b) -> bool { return a == b; };
             *     ...
             *     jau::cow_darray<Thing> list;
             *
             *     bool added = list.push_back_unique(new_element, thingEqComparator);
             *     ...
             *     cow_darray<std::shared_ptr<Thing>> listOfRefs;
             *     bool added = listOfRefs.push_back_unique(new_element,
             *                    [](const std::shared_ptr<Thing> &a, const std::shared_ptr<Thing> &b) -> bool { return *a == *b; });
             * </pre>
             * </p>
             * @param x the value to be added at the tail, if not existing yet.
             * @param comparator the equal comparator to return true if both given elements are equal
             * @return true if the element has been uniquely added, otherwise false
             */
            constexpr_atomic
            bool push_back_unique(const value_type& x, equal_comparator comparator) {
                std::lock_guard<std::recursive_mutex> lock(mtx_write);
                for(auto it = store_ref->begin(); it != store_ref->end(); ) {
                    if( comparator( *it, x ) ) {
                        return false; // already included
                    } else {
                        ++it;
                    }
                }
                push_back(x);
                return true;
            }

            /**
             * Erase either the first matching element or all matching elements.
             * <p>
             * This write operation uses a mutex lock and is blocking this instances' write operations only.
             * </p>
             * <p>
             * Examples
             * <pre>
             *     cow_darray<Thing> list;
             *     int count = list.erase_matching(element, true,
             *                    [](const Thing &a, const Thing &b) -> bool { return a == b; });
             *     ...
             *     static jau::cow_darray<Thing>::equal_comparator thingRefEqComparator =
             *                  [](const std::shared_ptr<Thing> &a, const std::shared_ptr<Thing> &b) -> bool { return *a == *b; };
             *     ...
             *     cow_darray<std::shared_ptr<Thing>> listOfRefs;
             *     int count = listOfRefs.erase_matching(element, false, thingRefEqComparator);
             * </pre>
             * </p>
             * @param x the value to be added at the tail, if not existing yet.
             * @param all_matching if true, erase all matching elements, otherwise only the first matching element.
             * @param comparator the equal comparator to return true if both given elements are equal
             * @return number of erased elements
             */
            constexpr_atomic
            int erase_matching(const value_type& x, const bool all_matching, equal_comparator comparator) {
                int count = 0;

                iterator it = begin(); // lock mutex and copy_store
                while( !it.is_end() ) {
                    if( comparator( *it, x ) ) {
                        it.erase();
                        ++count;
                        if( !all_matching ) {
                            break;
                        }
                    } else {
                        ++it;
                    }
                }
                if( 0 < count ) {
                    it.write_back();
                }
                return count;
            }

            constexpr_cxx20 std::string toString() const noexcept {
                std::string res("{ " + std::to_string( size() ) + ": ");
                int i=0;
                jau::for_each_const(*this, [&res, &i](const value_type & e) {
                    if( 1 < ++i ) { res.append(", "); }
                    res.append( jau::to_string(e) );
                } );
                res.append(" }");
                return res;
            }

            constexpr_cxx20 std::string get_info() const noexcept {
                return ("cow_darray[this "+jau::to_hexstring(this)+
                        ", "+store_ref->get_info()+
                        "]");
            }
    };

    /**
     * Construct a cow_darray<T> instance, initialized by move semantics from the variadic (template pack) argument list.
     *
     * std::initializer_list<T> enforces to copy the created instances into the container,
     * since its iterator references to `const` value_type.
     *
     * This alternative template passes the r-value argument references to cow_darray::push_back_list(),
     * hence using `std::move` without copying semantics.
     *
     * All argument types must be of same type, i.e. std::is_same.
     * The deduced darray<T> instance also uses same type as its Value_type.
     *
     * @tparam First the first argument type, must be same
     * @tparam Next all other argument types, must be same
     * @tparam
     * @param arg1 the first r-value
     * @param argsN the other r-values
     * @return the new `cow_darray`
     * @see cow_darray::push_back_list()
     * @see make_cow_darray()
     */
    template <typename First, typename... Next,
              // std::enable_if_t< ( std::is_same<First, Next>::value && ... ), bool> = true>
              std::enable_if_t< std::conjunction_v<std::is_same<First, Next>... >, bool> = true>
    constexpr cow_darray< First > make_cow_darray(First&& arg1, Next&&... argsN)
    {
        cow_darray< First > d(1 + sizeof...(Next));
        // C++17 fold expression on above C++11 template pack arg1 and argsN
        // d.push_back_list( std::forward<First>(arg1), ( std::forward<Next>(argsN), ... ) ); // @suppress("Syntax error")
        d.push_back_list( arg1, argsN... ); // @suppress("Syntax error")
        return d;
    }

    /**
     * Complement constructor for cow_darray<T> instance, move semantics initializer for one argument.
     * @tparam First
     * @tparam Next
     * @param arg1
     * @return
     * @see cow_darray::push_back()
     * @see cow_darray::push_back_list()
     * @see make_cow_darray()
     */
    template <typename First, typename... Next>
    constexpr cow_darray< First > make_cow_darray(First&& arg1)
    {
        cow_darray< First > d(1);
        d.push_back( std::forward<First>(arg1) );
        return d;
    }

    /****************************************************************************************
     ****************************************************************************************/

    template<typename Value_type, typename Alloc_type>
    std::ostream & operator << (std::ostream &out, const cow_darray<Value_type, Alloc_type> &c) {
        out << c.toString();
        return out;
    }

    /****************************************************************************************
     ****************************************************************************************/

    template<typename Value_type, typename Alloc_type>
    inline bool operator==(const cow_darray<Value_type, Alloc_type>& rhs, const cow_darray<Value_type, Alloc_type>& lhs) {
        if( &rhs == &lhs ) {
            return true;
        }
        typename cow_darray<Value_type, Alloc_type>::const_iterator rhs_cend = rhs.cbegin();
        rhs_cend += rhs.size();
        return (rhs.size() == lhs.size() && std::equal(rhs.cbegin(), rhs_cend, lhs.cbegin()));
    }
    template<typename Value_type, typename Alloc_type>
    inline bool operator!=(const cow_darray<Value_type, Alloc_type>& rhs, const cow_darray<Value_type, Alloc_type>& lhs) {
        return !(rhs==lhs);
    }

    template<typename Value_type, typename Alloc_type>
    inline bool operator<(const cow_darray<Value_type, Alloc_type>& rhs, const cow_darray<Value_type, Alloc_type>& lhs) {
        typename cow_darray<Value_type, Alloc_type>::const_iterator rhs_cend = rhs.cbegin();
        rhs_cend += rhs.size();
        typename cow_darray<Value_type, Alloc_type>::const_iterator lhs_cend = lhs.cbegin();
        lhs_cend += lhs.size();
        return std::lexicographical_compare(rhs.cbegin(), rhs_cend, lhs.begin(), lhs_cend);
    }

    template<typename Value_type, typename Alloc_type>
    inline bool operator>(const cow_darray<Value_type, Alloc_type>& rhs, const cow_darray<Value_type, Alloc_type>& lhs)
    { return lhs < rhs; }

    template<typename Value_type, typename Alloc_type>
    inline bool operator<=(const cow_darray<Value_type, Alloc_type>& rhs, const cow_darray<Value_type, Alloc_type>& lhs)
    { return !(lhs < rhs); }

    template<typename Value_type, typename Alloc_type>
    inline bool operator>=(const cow_darray<Value_type, Alloc_type>& rhs, const cow_darray<Value_type, Alloc_type>& lhs)
    { return !(rhs < lhs); }

    template<typename Value_type, typename Alloc_type>
    inline void swap(cow_darray<Value_type, Alloc_type>& rhs, cow_darray<Value_type, Alloc_type>& lhs) noexcept
    { rhs.swap(lhs); }

} /* namespace jau */

/** \example test_cow_iterator_01.cpp
 * This C++ unit test of const jau::cow_ro_iterator and mutable jau::cow_rw_iterator
 * in conjunction with jau::cow_darray demonstrates the effect of CoW const and mutable CoW operations
 * besides testing them.
 */

/** \example test_cow_darray_perf01.cpp
 * This C++ unit test validates the performance and correctness of the jau::cow_darray implementation.
 */

/** \example test_cow_darray_01.cpp
 * This C++ unit test validates the jau::cow_darray implementation.
 */

#endif /* JAU_COW_DARRAY_HPP_ */