Restored recommendations based on acoustic similarities (using musicnn), fixes #301
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/*
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* Copyright (C) 2026 Emeric Poupon
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*
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* This file is part of LMS.
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*
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* LMS is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* LMS is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with LMS. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include <benchmark/benchmark.h>
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#include <random>
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#include "core/Random.hpp"
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#include "math/DotProduct.hpp"
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namespace lms::math::benchs
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{
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template<std::size_t Size>
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static void BM_DotProduct(benchmark::State& state)
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{
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std::minstd_rand randomEngine{ 0 };
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Vector<Size, float> vec1;
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Vector<Size, float> vec2;
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core::random::fillContainer(randomEngine, vec1, 0.F, 1.F);
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core::random::fillContainer(randomEngine, vec2, 0.F, 1.F);
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for (auto _ : state)
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{
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benchmark::DoNotOptimize(computeDotProduct(vec1, vec2));
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}
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state.SetItemsProcessed(state.iterations() * Size);
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}
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BENCHMARK_TEMPLATE(BM_DotProduct, 4);
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BENCHMARK_TEMPLATE(BM_DotProduct, 50);
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BENCHMARK_TEMPLATE(BM_DotProduct, 160);
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} // namespace lms::math::benchs
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