Dependencies: Add lru-cache library
Adds a generic C++ based caching library to support material external modules. This is a template based library which means there is nothing to build or link. The only modification is to the CMakeLists.txt file to enable integration with FreeCAD, Original source: https://github.com/goldsborough/lru-cache
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Chris Hennes
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src/3rdParty/lru-cache/examples/statistics.cpp
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src/3rdParty/lru-cache/examples/statistics.cpp
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/// The MIT License (MIT)
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/// Copyright (c) 2016 Peter Goldsborough
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///
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/// Permission is hereby granted, free of charge, to any person obtaining a copy
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/// of this software and associated documentation files (the "Software"), to
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/// deal in the Software without restriction, including without limitation the
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/// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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/// sell copies of the Software, and to permit persons to whom the Software is
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/// furnished to do so, subject to the following conditions:
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///
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/// The above copyright notice and this permission notice shall be included in
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/// all copies or substantial portions of the Software.
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///
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/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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/// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
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/// IN THE SOFTWARE.
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#include <iostream>
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#include "lru/lru.hpp"
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using Cache = LRU::Cache<std::uint64_t, std::uint64_t>;
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std::uint64_t fibonacci(std::uint64_t n, Cache& cache) {
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if (n < 2) return 1;
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// We std::uint64_ternally keep track of the last accessed key, meaning a
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// `contains(key)` + `lookup(key)` sequence will involve only a single hash
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// table lookup.
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if (cache.contains(n)) return cache[n];
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auto value = fibonacci(n - 1, cache) + fibonacci(n - 2, cache);
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// Caches are 100% move-aware and we have implemented
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// `unordered_map` style emplacement and insertion.
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cache.emplace(n, value);
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return value;
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}
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std::uint64_t fibonacci(std::uint64_t n) {
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// Use a capacity of 100 (after 100 insertions, the next insertion will evict
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// the least-recently inserted element). The default capacity is 128. Note
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// that for fibonacci, a capacity of 2 is sufficient (and ideal).
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Cache cache(100);
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cache.monitor(2, 3, 4, 5);
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auto value = fibonacci(n, cache);
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for (auto i : {2, 3, 4, 5}) {
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auto stats = cache.stats().stats_for(i);
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// clang-format off
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std::cout << "Statistics for " << i << ": "
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<< stats.hits << " hit(s), "
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<< stats.misses << " miss(es)."
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<< std::endl;
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}
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// You'll notice we'll always have n - 1 misses, for each time we access
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// one of the numbers in [0, n] for the first time.
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std::cout << "Overall: "
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<< cache.stats().total_hits() << " hit(s), "
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<< cache.stats().total_misses() << " miss(es)."
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<< std::endl;
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// clang-format on
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return value;
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}
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auto main() -> int {
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// The last number that fits into a 64 bit unsigned number
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std::cout << fibonacci(92) << std::endl;
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}
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