diff options
Diffstat (limited to '')
-rw-r--r-- | src/Generating/ProtIntGen.h | 344 |
1 files changed, 344 insertions, 0 deletions
diff --git a/src/Generating/ProtIntGen.h b/src/Generating/ProtIntGen.h index 73ed27096..e709222fe 100644 --- a/src/Generating/ProtIntGen.h +++ b/src/Generating/ProtIntGen.h @@ -318,6 +318,350 @@ protected: +/** Averages the values of the underlying 2 * 2 neighbors. */ +class cProtIntGenAvgValues : + public cProtIntGen +{ + typedef cProtIntGen super; + +public: + cProtIntGenAvgValues(Underlying a_Underlying) : + m_Underlying(a_Underlying) + { + } + + + virtual void GetInts(int a_MinX, int a_MinZ, int a_SizeX, int a_SizeZ, int * a_Values) override + { + // Generate the underlying values: + int lowerSizeX = a_SizeX + 1; + int lowerSizeZ = a_SizeZ + 1; + ASSERT(lowerSizeX * lowerSizeZ <= m_BufferSize); + int lowerData[m_BufferSize]; + m_Underlying->GetInts(a_MinX, a_MinZ, lowerSizeX, lowerSizeZ, lowerData); + + // Average - add all 4 "neighbors" and divide by 4: + for (int z = 0; z < a_SizeZ; z++) + { + for (int x = 0; x < a_SizeX; x++) + { + int idxLower = x + lowerSizeX * z; + a_Values[x + a_SizeX * z] = ( + lowerData[idxLower] + lowerData[idxLower + 1] + + lowerData[idxLower + lowerSizeX] + lowerData[idxLower + lowerSizeX + 1] + ) / 4; + } + } + } + +protected: + Underlying m_Underlying; +}; + + + + + +/** Averages the values of the underlying 4 * 4 neighbors. */ +class cProtIntGenAvg4Values : + public cProtIntGen +{ + typedef cProtIntGen super; + +public: + cProtIntGenAvg4Values(Underlying a_Underlying) : + m_Underlying(a_Underlying) + { + } + + + virtual void GetInts(int a_MinX, int a_MinZ, int a_SizeX, int a_SizeZ, int * a_Values) override + { + // Generate the underlying values: + int lowerSizeX = a_SizeX + 4; + int lowerSizeZ = a_SizeZ + 4; + ASSERT(lowerSizeX * lowerSizeZ <= m_BufferSize); + int lowerData[m_BufferSize]; + m_Underlying->GetInts(a_MinX - 1, a_MinZ - 1, lowerSizeX, lowerSizeZ, lowerData); + + // Calculate the weighted average of all 16 "neighbors": + for (int z = 0; z < a_SizeZ; z++) + { + for (int x = 0; x < a_SizeX; x++) + { + int idxLower1 = x + lowerSizeX * z; + int idxLower2 = idxLower1 + lowerSizeX; + int idxLower3 = idxLower1 + 2 * lowerSizeX; + int idxLower4 = idxLower1 + 3 * lowerSizeX; + a_Values[x + a_SizeX * z] = ( + 1 * lowerData[idxLower1] + 2 * lowerData[idxLower1 + 1] + 2 * lowerData[idxLower1 + 2] + 1 * lowerData[idxLower1 + 3] + + 2 * lowerData[idxLower2] + 32 * lowerData[idxLower2 + 1] + 32 * lowerData[idxLower2 + 2] + 2 * lowerData[idxLower2 + 3] + + 2 * lowerData[idxLower3] + 32 * lowerData[idxLower3 + 1] + 32 * lowerData[idxLower3 + 2] + 2 * lowerData[idxLower3 + 3] + + 1 * lowerData[idxLower4] + 2 * lowerData[idxLower4 + 1] + 2 * lowerData[idxLower4 + 2] + 1 * lowerData[idxLower4 + 3] + ) / 148; + } + } + } + +protected: + Underlying m_Underlying; +}; + + + + + +/** Averages the values of the underlying 3 * 3 neighbors with custom weight. */ +template <int WeightCenter, int WeightCardinal, int WeightDiagonal> +class cProtIntGenWeightAvg : + public cProtIntGen +{ + typedef cProtIntGen super; + +public: + cProtIntGenWeightAvg(Underlying a_Underlying) : + m_Underlying(a_Underlying) + { + } + + + virtual void GetInts(int a_MinX, int a_MinZ, int a_SizeX, int a_SizeZ, int * a_Values) override + { + // Generate the underlying values: + int lowerSizeX = a_SizeX + 3; + int lowerSizeZ = a_SizeZ + 3; + ASSERT(lowerSizeX * lowerSizeZ <= m_BufferSize); + int lowerData[m_BufferSize]; + m_Underlying->GetInts(a_MinX, a_MinZ, lowerSizeX, lowerSizeZ, lowerData); + + // Calculate the weighted average the neighbors: + for (int z = 0; z < a_SizeZ; z++) + { + for (int x = 0; x < a_SizeX; x++) + { + int idxLower1 = x + lowerSizeX * z; + int idxLower2 = idxLower1 + lowerSizeX; + int idxLower3 = idxLower1 + 2 * lowerSizeX; + a_Values[x + a_SizeX * z] = ( + WeightDiagonal * lowerData[idxLower1] + WeightCardinal * lowerData[idxLower1 + 1] + WeightDiagonal * lowerData[idxLower1 + 2] + + WeightCardinal * lowerData[idxLower2] + WeightCenter * lowerData[idxLower2 + 1] + WeightCardinal * lowerData[idxLower2 + 2] + + WeightDiagonal * lowerData[idxLower3] + WeightCardinal * lowerData[idxLower3 + 1] + WeightDiagonal * lowerData[idxLower3 + 2] + ) / (4 * WeightDiagonal + 4 * WeightCardinal + WeightCenter); + } + } + } + +protected: + Underlying m_Underlying; +}; + + + + + +/** Replaces random values of the underlying data with random integers in the specified range [Min .. Min + Range). */ +class cProtIntGenRndChoice : + public cProtIntGenWithNoise +{ + typedef cProtIntGenWithNoise super; + +public: + cProtIntGenRndChoice(int a_Seed, int a_ChancePct, int a_Min, int a_Range, Underlying a_Underlying) : + super(a_Seed), + m_ChancePct(a_ChancePct), + m_Min(a_Min), + m_Range(a_Range), + m_Underlying(a_Underlying) + { + } + + + virtual void GetInts(int a_MinX, int a_MinZ, int a_SizeX, int a_SizeZ, int * a_Values) override + { + // Generate the underlying values: + m_Underlying->GetInts(a_MinX, a_MinZ, a_SizeX, a_SizeZ, a_Values); + + // Replace random values: + for (int z = 0; z < a_SizeZ; z++) + { + int BaseZ = a_MinZ + z; + for (int x = 0; x < a_SizeX; x++) + { + if (((super::m_Noise.IntNoise2DInt(BaseZ, a_MinX + x) / 13) % 101) < m_ChancePct) + { + a_Values[x + a_SizeX * z] = m_Min + (super::m_Noise.IntNoise2DInt(a_MinX + x, BaseZ) / 7) % m_Range; + } + } // for x + } // for z + } + +protected: + int m_ChancePct; + int m_Min; + int m_Range; + Underlying m_Underlying; +}; + + + + + +/** Adds a random value in range [-a_HalfRange, +a_HalfRange] to each of the underlying values. */ +class cProtIntGenAddRnd : + public cProtIntGenWithNoise +{ + typedef cProtIntGenWithNoise super; + +public: + cProtIntGenAddRnd(int a_Seed, int a_HalfRange, Underlying a_Underlying) : + super(a_Seed), + m_Range(a_HalfRange * 2 + 1), + m_HalfRange(a_HalfRange), + m_Underlying(a_Underlying) + { + } + + + virtual void GetInts(int a_MinX, int a_MinZ, int a_SizeX, int a_SizeZ, int * a_Values) override + { + // Generate the underlying values: + m_Underlying->GetInts(a_MinX, a_MinZ, a_SizeX, a_SizeZ, a_Values); + + // Add the random values: + for (int z = 0; z < a_SizeZ; z++) + { + int NoiseZ = a_MinZ + z; + for (int x = 0; x < a_SizeX; x++) + { + int noiseVal = ((super::m_Noise.IntNoise2DInt(a_MinX + x, NoiseZ) / 7) % m_Range) - m_HalfRange; + a_Values[x + z * a_SizeX] += noiseVal; + } + } + } + +protected: + int m_Range; + int m_HalfRange; + Underlying m_Underlying; +}; + + + + + +/** Replaces random underlying values with the average of the neighbors. */ +class cProtIntGenRndAvg : + public cProtIntGenWithNoise +{ + typedef cProtIntGenWithNoise super; + +public: + cProtIntGenRndAvg(int a_Seed, int a_AvgChancePct, Underlying a_Underlying) : + super(a_Seed), + m_AvgChancePct(a_AvgChancePct), + m_Underlying(a_Underlying) + { + } + + + virtual void GetInts(int a_MinX, int a_MinZ, int a_SizeX, int a_SizeZ, int * a_Values) override + { + // Generate the underlying values: + int lowerSizeX = a_SizeX + 2; + int lowerSizeZ = a_SizeZ + 2; + ASSERT(lowerSizeX * lowerSizeZ <= m_BufferSize); + int lowerData[m_BufferSize]; + m_Underlying->GetInts(a_MinX - 1, a_MinZ - 1, lowerSizeX, lowerSizeZ, lowerData); + + // Average random values: + for (int z = 0; z < a_SizeZ; z++) + { + int NoiseZ = a_MinZ + z; + for (int x = 0; x < a_SizeX; x++) + { + int idxLower = x + 1 + lowerSizeX * (z + 1); + if (((super::m_Noise.IntNoise2DInt(a_MinX + x, NoiseZ) / 7) % 100) > m_AvgChancePct) + { + // Average the 4 neighbors: + a_Values[x + z * a_SizeX] = ( + lowerData[idxLower - 1] + lowerData[idxLower + 1] + + lowerData[idxLower - lowerSizeX] + lowerData[idxLower + lowerSizeX] + ) / 4; + } + else + { + // Keep the underlying value: + a_Values[x + z * a_SizeX] = lowerData[idxLower]; + } + } + } + } + +protected: + int m_AvgChancePct; + Underlying m_Underlying; +}; + + + + + +/** Replaces random underlying values with a random value in between the max and min of the neighbors. */ +class cProtIntGenRndBetween : + public cProtIntGenWithNoise +{ + typedef cProtIntGenWithNoise super; + +public: + cProtIntGenRndBetween(int a_Seed, int a_AvgChancePct, Underlying a_Underlying) : + super(a_Seed), + m_AvgChancePct(a_AvgChancePct), + m_Underlying(a_Underlying) + { + } + + + virtual void GetInts(int a_MinX, int a_MinZ, int a_SizeX, int a_SizeZ, int * a_Values) override + { + // Generate the underlying values: + int lowerSizeX = a_SizeX + 2; + int lowerSizeZ = a_SizeZ + 2; + ASSERT(lowerSizeX * lowerSizeZ <= m_BufferSize); + int lowerData[m_BufferSize]; + m_Underlying->GetInts(a_MinX - 1, a_MinZ - 1, lowerSizeX, lowerSizeZ, lowerData); + + // Average random values: + for (int z = 0; z < a_SizeZ; z++) + { + int NoiseZ = a_MinZ + z; + for (int x = 0; x < a_SizeX; x++) + { + int idxLower = x + 1 + lowerSizeX * (z + 1); + if (((super::m_Noise.IntNoise2DInt(a_MinX + x, NoiseZ) / 7) % 100) > m_AvgChancePct) + { + // Chose a value in between the min and max neighbor: + int min = std::min(std::min(lowerData[idxLower - 1], lowerData[idxLower + 1]), std::min(lowerData[idxLower - lowerSizeX], lowerData[idxLower + lowerSizeX])); + int max = std::max(std::max(lowerData[idxLower - 1], lowerData[idxLower + 1]), std::max(lowerData[idxLower - lowerSizeX], lowerData[idxLower + lowerSizeX])); + a_Values[x + z * a_SizeX] = min + ((super::m_Noise.IntNoise2DInt(a_MinX + x, NoiseZ + 10) / 7) % (max - min + 1)); + } + else + { + // Keep the underlying value: + a_Values[x + z * a_SizeX] = lowerData[idxLower]; + } + } + } + } + +protected: + int m_AvgChancePct; + Underlying m_Underlying; +}; + + + + + /** Converts land biomes at the edge of an ocean into the respective beach biome. */ class cProtIntGenBeaches : public cProtIntGen |