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PerlinLoopIsland.hpp
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156 lines (132 loc) · 9.13 KB
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/*#######################################################################################
Copyright (c) 2017-2019 Kasugaccho
Copyright (c) 2018-2019 As Project
https://github.com/Kasugaccho/DungeonTemplateLibrary
wanotaitei@gmail.com
Distributed under the Boost Software License, Version 1.0. (See accompanying
file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
#######################################################################################*/
#ifndef INCLUDED_DUNGEON_TEMPLATE_LIBRARY_DTL_SHAPE_PERLIN_LOOP_ISLAND_HPP
#define INCLUDED_DUNGEON_TEMPLATE_LIBRARY_DTL_SHAPE_PERLIN_LOOP_ISLAND_HPP
/*#######################################################################################
日本語リファレンス (Reference-JP)
https://github.com/Kasugaccho/DungeonTemplateLibrary/wiki/dtl::shape::PerlinLoopIsland-(形状クラス)/
#######################################################################################*/
#include <DTL/Base/Struct.hpp>
#include <DTL/Macros/constexpr.hpp>
#include <DTL/Macros/nodiscard.hpp>
#include <DTL/Type/Forward.hpp>
#include <DTL/Type/IntX.hpp>
#include <DTL/Type/SizeT.hpp>
#include <DTL/Random/RandomEngine.hpp>
#include <DTL/Range/RectBasePerlin.hpp>
#include <DTL/Utility/DrawJaggedRandom.hpp>
#include <DTL/Utility/PerlinNoise.hpp>
/*#######################################################################################
[概要] "dtl名前空間"とは"DungeonTemplateLibrary"の全ての機能が含まれる名前空間である。
[Summary] The "dtl" is a namespace that contains all the functions of "DungeonTemplateLibrary".
#######################################################################################*/
namespace dtl {
inline namespace shape { //"dtl::shape"名前空間に属する
/*#######################################################################################
[概要] PerlinLoopIslandとは "Matrixの描画範囲にパーリンノイズを使用して地形を生成する" 機能を持つクラスである。
[Summary] PerlinLoopIsland is a class that generates terrain using perlin noise in the drawing range of Matrix.
#######################################################################################*/
template<typename Matrix_Var_, typename Random_Engine_ = DTL_RANDOM_DEFAULT_RANDOM>
class PerlinLoopIsland : public ::dtl::range::RectBasePerlin<PerlinLoopIsland<Matrix_Var_>, Matrix_Var_>,
public ::dtl::utility::DrawJaggedRandom<PerlinLoopIsland<Matrix_Var_>, Matrix_Var_, Random_Engine_> {
private:
///// エイリアス (Alias) /////
using Index_Size = ::dtl::type::size;
using ShapeBase_t = ::dtl::range::RectBasePerlin<PerlinLoopIsland, Matrix_Var_>;
using DrawBase_t = ::dtl::utility::DrawJaggedRandom<PerlinLoopIsland, Matrix_Var_, Random_Engine_>;
friend DrawBase_t;
///// 基本処理 /////
//STL
template<typename Matrix_, typename ...Args_>
//DTL_VERSIONING_CPP14_CONSTEXPR
typename DTL_TYPE_ENABLE_IF<Matrix_::is_jagged::value, bool>::DTL_TYPE_EITYPE
drawNormal(Matrix_&& matrix_, Random_Engine_&& random_engine_, Args_&& ... args_) const noexcept {
const Index_Size end_y_{ this->calcEndY(matrix_.getY()) };
const Index_Size mid_y_{ this->start_y + ((end_y_ - this->start_y) / 2) };
const ::dtl::utility::PerlinNoise<double> perlin(static_cast<::dtl::type::uint_fast32>(random_engine_.get()));
const double frequency_y{ (end_y_ - this->start_y) / this->frequency };
for (Index_Size row{ this->start_y }; row < mid_y_; ++row) {
const Index_Size end_x_{ this->calcEndX(matrix_.getX(row)) };
const Index_Size mid_x_{ this->start_x + ((end_x_ - this->start_x) / 2) };
const double frequency_x{ (end_x_ - this->start_x) / this->frequency };
for (std::size_t col{ this->start_x }; col < mid_x_; ++col)
matrix_.set(col, row,
this->min_height + static_cast<Matrix_Var_>((this->max_height - this->min_height) * perlin.octaveNoise(this->octaves, col / frequency_x, row / frequency_y)), args_...);
for (std::size_t col{ mid_x_ }; col < end_x_; ++col)
matrix_.set(col, row,
this->min_height +
static_cast<Matrix_Var_>((this->max_height - this->min_height) * perlin.octaveNoise(this->octaves, col / frequency_x, row / frequency_y) * (1.0 - (double)(col - mid_x_) / (end_x_ - mid_x_)) +
(this->max_height - this->min_height) * perlin.octaveNoise(this->octaves, (static_cast<double>(col) - (mid_x_ - this->start_x) * 2) / frequency_x, row / frequency_y) * ((double)(col - mid_x_) / (end_x_ - mid_x_)))
, args_...);
}
for (std::size_t row{ mid_y_ }; row < end_y_; ++row) {
const Index_Size end_x_{ this->calcEndX(matrix_.getX(row)) };
const Index_Size mid_x_{ this->start_x + ((end_x_ - this->start_x) / 2) };
const double frequency_x{ (end_x_ - this->start_x) / this->frequency };
for (std::size_t col{ this->start_x }; col < mid_x_; ++col)
matrix_.set(col, row,
this->min_height +
static_cast<Matrix_Var_>((this->max_height - this->min_height) * perlin.octaveNoise(this->octaves, col / frequency_x, row / frequency_y) * (1.0 - (double)(row - mid_y_) / (end_y_ - mid_y_)) +
(this->max_height - this->min_height) * perlin.octaveNoise(this->octaves, col / frequency_x, (static_cast<double>(row) - (mid_y_ - this->start_y) * 2) / frequency_y) * ((double)(row - mid_y_) / (end_y_ - mid_y_)))
, args_...);
for (std::size_t col{ mid_x_ }; col < end_x_; ++col)
matrix_.set(col, row,
this->min_height +
static_cast<Matrix_Var_>((this->max_height - this->min_height) * perlin.octaveNoise(this->octaves, col / frequency_x, row / frequency_y) * (1.0 - (double)(col - mid_x_) / (end_x_ - mid_x_)) +
(this->max_height - this->min_height) * perlin.octaveNoise(this->octaves, (static_cast<double>(col) - (mid_x_ - this->start_x) * 2) / frequency_x, (static_cast<double>(row) - (mid_y_ - this->start_y) * 2) / frequency_y) * ((double)(col - mid_x_) / (end_x_ - mid_x_)))
, args_...);
}
return true;
}
//Normal
template<typename Matrix_, typename ...Args_>
//DTL_VERSIONING_CPP14_CONSTEXPR
typename DTL_TYPE_ENABLE_IF<!Matrix_::is_jagged::value, bool>::DTL_TYPE_EITYPE
drawNormal(Matrix_&& matrix_, Random_Engine_&& random_engine_, Args_&& ... args_) const noexcept {
const Index_Size end_x_{ this->calcEndX(matrix_.getX()) };
const Index_Size end_y_{ this->calcEndY(matrix_.getY()) };
const Index_Size mid_x_{ this->start_x + ((end_x_ - this->start_x) / 2) };
const Index_Size mid_y_{ this->start_y + ((end_y_ - this->start_y) / 2) };
const ::dtl::utility::PerlinNoise<double> perlin(static_cast<::dtl::type::uint_fast32>(random_engine_.get()));
const double frequency_x{ (end_x_ - this->start_x) / this->frequency };
const double frequency_y{ (end_y_ - this->start_y) / this->frequency };
for (std::size_t row{ this->start_y }; row < mid_y_; ++row) {
for (std::size_t col{ this->start_x }; col < mid_x_; ++col)
matrix_.set(col, row,
this->min_height + static_cast<Matrix_Var_>((this->max_height - this->min_height) * perlin.octaveNoise(this->octaves, col / frequency_x, row / frequency_y)), args_...);
for (std::size_t col{ mid_x_ }; col < end_x_; ++col)
matrix_.set(col, row,
this->min_height +
static_cast<Matrix_Var_>((this->max_height - this->min_height) * perlin.octaveNoise(this->octaves, col / frequency_x, row / frequency_y) * (1.0 - (double)(col - mid_x_) / (end_x_ - mid_x_)) +
(static_cast<double>(this->max_height) - static_cast<double>(this->min_height)) * perlin.octaveNoise(this->octaves, (static_cast<double>(col) - (mid_x_ - this->start_x) * 2) / frequency_x, row / frequency_y) * ((double)(col - mid_x_) / (end_x_ - mid_x_)))
, args_...);
}
for (std::size_t row{ mid_y_ }; row < end_y_; ++row) {
for (std::size_t col{ this->start_x }; col < mid_x_; ++col)
matrix_.set(col, row,
this->min_height +
static_cast<Matrix_Var_>((this->max_height - this->min_height) * perlin.octaveNoise(this->octaves, col / frequency_x, row / frequency_y) * (1.0 - (double)(row - mid_y_) / (end_y_ - mid_y_)) +
(static_cast<double>(this->max_height) - static_cast<double>(this->min_height)) * perlin.octaveNoise(this->octaves, col / frequency_x, (static_cast<double>(row) - (mid_y_ - this->start_y) * 2) / frequency_y) * ((double)(row - mid_y_) / (end_y_ - mid_y_)))
, args_...);
for (std::size_t col{ mid_x_ }; col < end_x_; ++col)
matrix_.set(col, row,
this->min_height +
static_cast<Matrix_Var_>((this->max_height - this->min_height) * perlin.octaveNoise(this->octaves, col / frequency_x, row / frequency_y) * (1.0 - (double)(col - mid_x_) / (end_x_ - mid_x_)) +
(static_cast<double>(this->max_height) - static_cast<double>(this->min_height)) * perlin.octaveNoise(this->octaves, (static_cast<double>(col) - (mid_x_ - this->start_x) * 2) / frequency_x, (static_cast<double>(row) - (mid_y_ - this->start_y) * 2) / frequency_y) * ((double)(col - mid_x_) / (end_x_ - mid_x_)))
, args_...);
}
return true;
}
public:
///// コンストラクタ (Constructor) /////
using ShapeBase_t::ShapeBase_t;
};
}
}
#endif //Included Dungeon Template Library