godot-module-template/engine/thirdparty/manifold/src/hashtable.h

169 lines
4.7 KiB
C++

// Copyright 2022 The Manifold Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include <stdint.h>
#include <atomic>
#include "./utils.h"
#include "./vec.h"
namespace {
typedef unsigned long long int Uint64;
typedef Uint64 (*hash_fun_t)(Uint64);
inline constexpr Uint64 kOpen = std::numeric_limits<Uint64>::max();
template <typename T>
T AtomicCAS(T& target, T compare, T val) {
std::atomic<T>& tar = reinterpret_cast<std::atomic<T>&>(target);
tar.compare_exchange_strong(compare, val, std::memory_order_acq_rel);
return compare;
}
template <typename T>
void AtomicStore(T& target, T val) {
std::atomic<T>& tar = reinterpret_cast<std::atomic<T>&>(target);
// release is good enough, although not really something general
tar.store(val, std::memory_order_release);
}
template <typename T>
T AtomicLoad(const T& target) {
const std::atomic<T>& tar = reinterpret_cast<const std::atomic<T>&>(target);
// acquire is good enough, although not general
return tar.load(std::memory_order_acquire);
}
// https://stackoverflow.com/questions/664014/what-integer-hash-function-are-good-that-accepts-an-integer-hash-key
inline Uint64 hash64bit(Uint64 x) {
x = (x ^ (x >> 30)) * 0xbf58476d1ce4e5b9ull;
x = (x ^ (x >> 27)) * 0x94d049bb133111ebull;
x = x ^ (x >> 31);
return x;
}
} // namespace
namespace manifold {
template <typename V, hash_fun_t H = hash64bit>
class HashTableD {
public:
HashTableD(Vec<Uint64>& keys, Vec<V>& values, std::atomic<size_t>& used,
uint32_t step = 1)
: step_{step}, keys_{keys}, values_{values}, used_{used} {}
int Size() const { return keys_.size(); }
bool Full() const {
return used_.load(std::memory_order_relaxed) * 2 >
static_cast<size_t>(Size());
}
void Insert(Uint64 key, const V& val) {
uint32_t idx = H(key) & (Size() - 1);
while (1) {
if (Full()) return;
Uint64& k = keys_[idx];
const Uint64 found = AtomicCAS(k, kOpen, key);
if (found == kOpen) {
used_.fetch_add(1, std::memory_order_relaxed);
values_[idx] = val;
return;
}
if (found == key) return;
idx = (idx + step_) & (Size() - 1);
}
}
V& operator[](Uint64 key) {
uint32_t idx = H(key) & (Size() - 1);
while (1) {
const Uint64 k = AtomicLoad(keys_[idx]);
if (k == key || k == kOpen) {
return values_[idx];
}
idx = (idx + step_) & (Size() - 1);
}
}
const V& operator[](Uint64 key) const {
uint32_t idx = H(key) & (Size() - 1);
while (1) {
const Uint64 k = AtomicLoad(keys_[idx]);
if (k == key || k == kOpen) {
return values_[idx];
}
idx = (idx + step_) & (Size() - 1);
}
}
Uint64 KeyAt(int idx) const { return AtomicLoad(keys_[idx]); }
V& At(int idx) { return values_[idx]; }
const V& At(int idx) const { return values_[idx]; }
private:
uint32_t step_;
VecView<Uint64> keys_;
VecView<V> values_;
std::atomic<size_t>& used_;
};
template <typename V, hash_fun_t H = hash64bit>
class HashTable {
public:
HashTable(size_t size, uint32_t step = 1)
: keys_{size == 0 ? 0 : 1_uz << (int)ceil(log2(size)), kOpen},
values_{size == 0 ? 0 : 1_uz << (int)ceil(log2(size)), {}},
step_(step) {}
HashTable(const HashTable& other)
: keys_(other.keys_), values_(other.values_), step_(other.step_) {
used_.store(other.used_.load());
}
HashTable& operator=(const HashTable& other) {
if (this == &other) return *this;
keys_ = other.keys_;
values_ = other.values_;
used_.store(other.used_.load());
step_ = other.step_;
return *this;
}
HashTableD<V, H> D() { return {keys_, values_, used_, step_}; }
int Entries() const { return used_.load(std::memory_order_relaxed); }
size_t Size() const { return keys_.size(); }
bool Full() const {
return used_.load(std::memory_order_relaxed) * 2 > Size();
}
double FilledFraction() const {
return static_cast<double>(used_.load(std::memory_order_relaxed)) / Size();
}
Vec<V>& GetValueStore() { return values_; }
static Uint64 Open() { return kOpen; }
private:
Vec<Uint64> keys_;
Vec<V> values_;
std::atomic<size_t> used_ = 0;
uint32_t step_;
};
} // namespace manifold