70 lines
2.6 KiB
C++
70 lines
2.6 KiB
C++
/*
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* =====================================================================================
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*
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* OpenMiner
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*
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* Copyright (C) 2018-2020 Unarelith, Quentin Bazin <openminer@unarelith.net>
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* Copyright (C) 2019-2020 the OpenMiner contributors (see CONTRIBUTORS.md)
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*
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* This file is part of OpenMiner.
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*
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* OpenMiner is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* OpenMiner 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 GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public License
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* along with OpenMiner; if not, write to the Free Software Foundation, Inc.,
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* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*
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* =====================================================================================
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*/
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#include "Biome.hpp"
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#include "Registry.hpp"
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#include "ServerWorld.hpp"
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#include "TerrainBiomeSampler.hpp"
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TerrainBiomeSampler::TerrainBiomeSampler(const Dimension &dimension) : m_dimension(dimension) {
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for (u8 i = 0; i < biomeParamCount; i++) {
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m_paramNoises.emplace_back();
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m_paramNoises.back().SetNoiseType(FastNoise::NoiseType::SimplexFractal);
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m_paramNoises.back().SetFrequency(1 / 800.0f);
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m_paramNoises.back().SetFractalOctaves(5);
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m_paramNoises.back().SetSeed(i);
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}
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}
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u16 TerrainBiomeSampler::getBiomeIndexAt(s32 x, s32 y) const {
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// TODO with a lot of biomes, perhaps we want an R-Tree or similar, instead of a long loop.
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// Should also finish solving for analytic blending, or find completely separate solution such as isotropically-modified genlayer
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// If we continue with temp/precip/etc params, need to write a weighted lloyd smoother so biomes becone fairly represented.
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// True temp/precip values can then be re-interpolated out from the Voronoi diagram using a neighborhood figure "kernel".
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u16 decidedBiomeIndex = 0;
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double decidedBiomeDeviation = INFINITY;
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for (auto &biomeID : m_dimension.biomes()) {
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const Biome &biome = Registry::getInstance().getBiomeFromStringID(biomeID);
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double deviation = 0;
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for (int i = 0; i < biomeParamCount; i++) {
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double dp = m_paramNoises[i].GetNoise(x, y) - biome.getParams()[i];
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deviation += dp * dp;
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}
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if (deviation < decidedBiomeDeviation) {
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decidedBiomeDeviation = deviation;
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decidedBiomeIndex = biome.id();
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}
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}
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return decidedBiomeIndex;
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}
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