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177 lignes
4.1 KiB
177 lignes
4.1 KiB
#pragma once
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#include <gp/algorithms/sort.hpp>
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#include <gp/containers/array.hpp>
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#include <gp/math/integral.hpp>
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#include <gp/utils/iterator.hpp>
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#include <gp/functional/optional.hpp>
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// UNIMPLEMENTED: see filename
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namespace gp {
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namespace ordinators {
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struct less {
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template<typename T>
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bool operator() (const T& lhs, const T& rhs){
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return lhs < rhs;
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}
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};
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}
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/**
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* @brief
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*
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* @tparam T The type to store, must be either final or primitive
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* @tparam capacity The number of elements that can be stored in the structure
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*/
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template<typename T, size_t capacity, typename ordinator = gp::ordinators::less>
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class flat_tree {
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using node_t = gp::optional<T>;
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gp::array<node_t, capacity> data_;
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static void ordain(auto destination_space, auto value_workspace, index_to_1 idx) {
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if(!value_workspace.size()) return;
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size_t pivot;
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if(value_workspace.size()%2) {
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pivot = value_workspace.size()/2;
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} else {
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pivot = value_workspace.size()/2 + 1;
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}
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destination_space[idx] = gp::move(value_workspace[pivot]);
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auto left = idx;
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left.left();
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ordain(destination_space, value_workspace.slice_start(pivot), left);
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auto right = idx;
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right.right();
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ordain(destination_space, value_workspace.trim_start(pivot+1), left);
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};
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public:
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using iterator = gp::flat_tree_iterator<flat_tree, T, 1>;
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using riterator = gp::flat_tree_iterator<flat_tree, T, -1>;
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friend iterator;
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friend riterator;
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flat_tree(auto data) {
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gp_config::assertion(data.size() <= data_.size(), "Couldn't construct flat tree from C array");
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for(auto v : data) {
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insert(v);
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}
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}
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bool insert(T& value) {
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index_to_1 idx(0);
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while(idx < data_.size() && data()[idx].has_value()) {
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if(ordinator()(data()[idx].value(), value)) {
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idx.left();
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} else {
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idx.right();
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}
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}
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if (idx >= data_.size()) [[unlikely]] {
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if(rebalance_with_value(value)) return true;
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if constexpr (gp_config::has_exceptions) {
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}
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return false;
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}
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data()[idx] = value;
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return true;
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}
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/**
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* @brief Rebalance the tree
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*
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* @param value The value to try to push along with the rebalance
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*
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* @return true if the operation suceeded
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* @return false if the operation failed
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*/
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bool rebalance_with_value(T& value) {
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// TODO: Add constant memory shenanigans
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/*
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auto workspace = data_.as_buffer();
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bool ok = false;
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for(auto& elem : workspace) {
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if(!elem.has_value()) {
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ok = true;
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break;
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}
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}
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if(!ok) return false;
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gp::sort(workspace.begin(), workspace.end(), [](const node_t& lhs, const node_t& rhs){ return lhs.has_value() > rhs.has_value(); });
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size_t cnt = 0;
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for(auto& elem : workspace) {
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if(elem.has_value()) break;
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++cnt;
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}
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--cnt;
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workspace[cnt] = value;
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auto value_workspace = workspace.trim_start(cnt);
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gp::sort(value_workspace.begin(), value_workspace.end(), [](const node_t& lhs, const node_t& rhs){ return ordinator(lhs.value(), rhs.value()); });
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auto destination_space = workspace.slice_start(value_workspace.size());
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for(auto )
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*/
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auto oth = gp::move(data_);
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auto workspace = oth.as_buffer();
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bool ok = false;
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for(auto& elem : workspace) {
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if(!elem.has_value()) {
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ok = true;
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break;
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}
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}
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if(!ok) return false;
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gp::sort(workspace.begin(), workspace.end(), [](const node_t& lhs, const node_t& rhs){ return lhs.has_value() < rhs.has_value(); });
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size_t cnt = 0;
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for(auto& elem : workspace) {
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if(elem.has_value()) break;
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++cnt;
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}
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--cnt;
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workspace[cnt] = value;
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auto value_workspace = workspace.trim_start(cnt);
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gp::sort(value_workspace.begin(), value_workspace.end(), [](const node_t& lhs, const node_t& rhs){ return ordinator()(lhs.value(), rhs.value()); });
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auto destination_space = workspace.slice_start(value_workspace.size());
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ordain(destination_space, value_workspace, 0);
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return true;
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}
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iterator begin() {
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return ++iterator{.tree = *this, .index = (size_t)-1};
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}
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iterator end() {
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return iterator{.tree = *this, .index = (size_t)-1};
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}
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auto data() {
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return data_.as_buffer();
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}
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};
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}
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