CColumnSum.java
- /*
- * @cond LICENSE
- * ######################################################################################
- * # LGPL License #
- * # #
- * # This file is part of the LightJason AgentSpeak(L++) #
- * # Copyright (c) 2015-19, LightJason (info@lightjason.org) #
- * # This program is free software: you can redistribute it and/or modify #
- * # it under the terms of the GNU Lesser General Public License as #
- * # published by the Free Software Foundation, either version 3 of the #
- * # License, or (at your option) any later version. #
- * # #
- * # This program is distributed in the hope that it will be useful, #
- * # but WITHOUT ANY WARRANTY; without even the implied warranty of #
- * # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
- * # GNU Lesser General Public License for more details. #
- * # #
- * # You should have received a copy of the GNU Lesser General Public License #
- * # along with this program. If not, see http://www.gnu.org/licenses/ #
- * ######################################################################################
- * @endcond
- */
- package org.lightjason.agentspeak.action.builtin.math.blas.matrix;
- import cern.colt.matrix.tdouble.DoubleMatrix1D;
- import cern.colt.matrix.tdouble.DoubleMatrix2D;
- import cern.colt.matrix.tdouble.impl.DenseDoubleMatrix1D;
- import cern.colt.matrix.tdouble.impl.SparseDoubleMatrix1D;
- import org.lightjason.agentspeak.action.builtin.math.blas.EType;
- import org.lightjason.agentspeak.action.builtin.math.blas.IAlgebra;
- import org.lightjason.agentspeak.language.CCommon;
- import org.lightjason.agentspeak.language.CRawTerm;
- import org.lightjason.agentspeak.language.ITerm;
- import org.lightjason.agentspeak.language.execution.IContext;
- import org.lightjason.agentspeak.language.fuzzy.CFuzzyValue;
- import org.lightjason.agentspeak.language.fuzzy.IFuzzyValue;
- import javax.annotation.Nonnegative;
- import javax.annotation.Nonnull;
- import java.util.List;
- import java.util.stream.IntStream;
- /**
- * returns the column-sum of a matrix.
- * The action returns the column-sum of all matrix objects,
- * a string value defines a sparse or dense resulting vector,
- * the action never fails
- *
- * {@code
- [S1|S2] = math/blas/matrix/columnsum( Matrix1, Matrix2 );
- [S1|S2] = math/blas/matrix/columnsum( Matrix1, Matrix2, "sparse" );
- * }
- */
- public final class CColumnSum extends IAlgebra
- {
- /**
- * serial id
- */
- private static final long serialVersionUID = -6504165889102496768L;
- @Nonnegative
- @Override
- public final int minimalArgumentNumber()
- {
- return 1;
- }
- @Nonnull
- @Override
- public final IFuzzyValue<Boolean> execute( final boolean p_parallel, @Nonnull final IContext p_context,
- @Nonnull final List<ITerm> p_argument, @Nonnull final List<ITerm> p_return )
- {
- final EType l_type = CCommon.flatten( p_argument )
- .parallel()
- .filter( i -> CCommon.rawvalueAssignableTo( i, String.class ) )
- .findFirst()
- .map( ITerm::<String>raw )
- .map( EType::from )
- .orElse( EType.DENSE );
- CCommon.flatten( p_argument )
- .filter( i -> CCommon.rawvalueAssignableTo( i, DoubleMatrix2D.class ) )
- .map( ITerm::<DoubleMatrix2D>raw )
- .map( i -> IntStream.range( 0, i.columns() ).boxed().map( i::viewColumn ).mapToDouble( DoubleMatrix1D::zSum ).toArray() )
- .map( i -> generate( i, l_type ) )
- .map( CRawTerm::from )
- .forEach( p_return::add );
- return CFuzzyValue.from( true );
- }
- /**
- * generates a vector
- *
- * @param p_value values
- * @param p_type type
- * @return vector
- */
- @Nonnull
- private static DoubleMatrix1D generate( @Nonnull final double[] p_value, @Nonnull final EType p_type )
- {
- switch ( p_type )
- {
- case SPARSE: return new SparseDoubleMatrix1D( p_value );
- default : return new DenseDoubleMatrix1D( p_value );
- }
- }
- }