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/*
 * MIT License
 *
 * Copyright (c) 2002-2023 Mikko Tommila
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */
package org.apfloat.internal;

import org.apfloat.ApfloatContext;
import org.apfloat.ApfloatRuntimeException;
import org.apfloat.spi.BuilderFactory;
import org.apfloat.spi.CarryCRTStrategy;
import org.apfloat.spi.ConvolutionStrategy;
import org.apfloat.spi.NTTStrategy;
import org.apfloat.spi.NTTConvolutionStepStrategy;
import org.apfloat.spi.DataStorageBuilder;
import org.apfloat.spi.DataStorage;

/**
 * Convolution using three Number Theoretic Transforms
 * and the Chinese Remainder Theorem to get the final result.

* * Multiplication can be done in linear time in the transform domain, where * the multiplication is simply an element-by-element multiplication.

* * All access to this class must be externally synchronized. * * @since 1.7.0 * @version 1.7.0 * @author Mikko Tommila */ public class ThreeNTTConvolutionStrategy implements ConvolutionStrategy { /** * Creates a new convoluter that uses the specified * transform for transforming the data. * * @param radix The radix to be used. * @param nttStrategy The transform to be used. */ public ThreeNTTConvolutionStrategy(int radix, NTTStrategy nttStrategy) { ApfloatContext ctx = ApfloatContext.getContext(); BuilderFactory builderFactory = ctx.getBuilderFactory(); this.nttStrategy = nttStrategy; this.carryCRTStrategy = builderFactory.getCarryCRTBuilder(builderFactory.getElementArrayType()).createCarryCRT(radix); this.stepStrategy = builderFactory.getNTTBuilder().createNTTConvolutionSteps(); } @Override public DataStorage convolute(DataStorage x, DataStorage y, long resultSize) throws ApfloatRuntimeException { if (x == y) { return autoConvolute(x, resultSize); } long length = this.nttStrategy.getTransformLength(x.getSize() + y.getSize()); DataStorage result; lock(length); try { DataStorage resultMod0 = convoluteOne(x, y, length, 0, false), resultMod1 = convoluteOne(x, y, length, 1, false), resultMod2 = convoluteOne(x, y, length, 2, true); result = this.carryCRTStrategy.carryCRT(resultMod0, resultMod1, resultMod2, resultSize); } finally { unlock(); } return result; } /** * Performs a convolution modulo one modulus, of the specified transform length. * * @param x First data set. * @param y Second data set. * @param length Length of the transformation. * @param modulus Which modulus to use. * @param cached If the result data should be kept cached in memory when possible. * * @return The result of the convolution for one modulus. */ protected DataStorage convoluteOne(DataStorage x, DataStorage y, long length, int modulus, boolean cached) throws ApfloatRuntimeException { DataStorage tmpY = createCachedDataStorage(length); tmpY.copyFrom(y, length); // Using a cached data storage here can avoid an extra write this.nttStrategy.transform(tmpY, modulus); tmpY = createDataStorage(tmpY); DataStorage tmpX = createCachedDataStorage(length); tmpX.copyFrom(x, length); this.nttStrategy.transform(tmpX, modulus); this.stepStrategy.multiplyInPlace(tmpX, tmpY, modulus); this.nttStrategy.inverseTransform(tmpX, modulus, length); tmpX = (cached ? tmpX : createDataStorage(tmpX)); return tmpX; } /** * Convolutes a data set with itself. * * @param x The data set. * @param resultSize Number of elements needed in the result data. * * @return The convolved data. */ protected DataStorage autoConvolute(DataStorage x, long resultSize) throws ApfloatRuntimeException { long length = this.nttStrategy.getTransformLength(x.getSize() * 2); DataStorage result; lock(length); try { DataStorage resultMod0 = autoConvoluteOne(x, length, 0, false), resultMod1 = autoConvoluteOne(x, length, 1, false), resultMod2 = autoConvoluteOne(x, length, 2, true); result = this.carryCRTStrategy.carryCRT(resultMod0, resultMod1, resultMod2, resultSize); } finally { unlock(); } return result; } /** * Performs an autoconvolution modulo one modulus, of the specified transform length. * * @param x The data set. * @param length Length of the transformation. * @param modulus Which modulus to use. * @param cached If the result data should be kept cached in memory when possible. * * @return The result of the convolution for one modulus. */ protected DataStorage autoConvoluteOne(DataStorage x, long length, int modulus, boolean cached) throws ApfloatRuntimeException { DataStorage tmp = createCachedDataStorage(length); tmp.copyFrom(x, length); this.nttStrategy.transform(tmp, modulus); this.stepStrategy.squareInPlace(tmp, modulus); this.nttStrategy.inverseTransform(tmp, modulus, length); tmp = (cached ? tmp : createDataStorage(tmp)); return tmp; } /** * Lock the execution against a synchronization lock. * * @param length The length of the data being processed for determining the type of lock to use. */ protected void lock(long length) { } /** * Remove the synchronization lock. */ protected void unlock() { } /** * Create a cached (if possible) data storage for the specified number of elements. * * @param size The number of elements. * * @return The data storage. */ protected DataStorage createCachedDataStorage(long size) throws ApfloatRuntimeException { ApfloatContext ctx = ApfloatContext.getContext(); DataStorageBuilder dataStorageBuilder = ctx.getBuilderFactory().getDataStorageBuilder(); return dataStorageBuilder.createCachedDataStorage(size * ctx.getBuilderFactory().getElementSize()); } /** * Create a cached data storage from the (possibly) cached data storage. * * @param dataStorage The data storage, which may be cached. * * @return The data storage, which isn't cached. */ protected DataStorage createDataStorage(DataStorage dataStorage) throws ApfloatRuntimeException { ApfloatContext ctx = ApfloatContext.getContext(); DataStorageBuilder dataStorageBuilder = ctx.getBuilderFactory().getDataStorageBuilder(); return dataStorageBuilder.createDataStorage(dataStorage); } /** * The transform to use. */ protected NTTStrategy nttStrategy; /** * The carry-CRT to use. */ protected CarryCRTStrategy carryCRTStrategy; /** * The convolution steps to use. */ protected NTTConvolutionStepStrategy stepStrategy; }





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