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Tensorics is a java framework which uses a tensor as a central object. A tensor represents a set of values placed in an N-dimensional space. Wherever you are tempted to use maps of maps, a tensor might be a good choice ;-) Tensorics provides methods to create, transform and performing calculations with those tensors.
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*
* This file is part of tensorics.
*
* Copyright (c) 2008-2011, CERN. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
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package org.tensorics.core.quantity.lang;
import org.tensorics.core.expressions.BinaryOperationExpression;
import org.tensorics.core.lang.Tensorics;
import org.tensorics.core.quantity.QuantifiedValue;
import org.tensorics.core.quantity.operations.QuantityOperationRepository;
import org.tensorics.core.tree.domain.Expression;
import org.tensorics.core.tree.domain.ResolvedExpression;
import org.tensorics.core.units.JScienceUnit;
import org.tensorics.core.units.Unit;
/**
* Provides methods to describe the right hand part of binary operations on expressions of quantified values
*
* @author kfuchsbe
* @param the type of the scalar values (elements of the field on which the operations are based)
*/
@SuppressWarnings("PMD.TooManyMethods")
public class OngoingDeferredQuantifiedScalarOperation {
private final Expression> left;
private final QuantityOperationRepository pseudoField;
public OngoingDeferredQuantifiedScalarOperation(Expression> left,
QuantityOperationRepository pseudoField) {
super();
this.left = left;
this.pseudoField = pseudoField;
}
public Expression> plus(S rightValue, Unit rightUnit) {
return plus(Tensorics.quantityOf(rightValue, rightUnit));
}
public Expression> minus(S rightValue, Unit rightUnit) {
return minus(Tensorics.quantityOf(rightValue, rightUnit));
}
public Expression> plus(S rightValue, javax.measure.unit.Unit rightUnit) {
return plus(Tensorics.quantityOf(rightValue, JScienceUnit.of(rightUnit)));
}
public Expression> minus(S rightValue, javax.measure.unit.Unit rightUnit) {
return minus(Tensorics.quantityOf(rightValue, JScienceUnit.of(rightUnit)));
}
/*
* methods using our scalars
*/
public Expression> plus(QuantifiedValue right) {
return plus(ResolvedExpression.of(right));
}
public Expression> plus(Expression> right) {
return new BinaryOperationExpression<>(pseudoField.addition(), left, right);
}
public Expression> minus(QuantifiedValue right) {
return minus(ResolvedExpression.of(right));
}
public Expression> minus(Expression> right) {
return new BinaryOperationExpression<>(pseudoField.subtraction(), left, right);
}
public Expression> times(S rightValue, javax.measure.unit.Unit unit) {
return times(Tensorics.quantityOf(rightValue, JScienceUnit.of(unit)));
}
public Expression> dividedBy(S rightValue, javax.measure.unit.Unit unit) {
return dividedBy(Tensorics.quantityOf(rightValue, JScienceUnit.of(unit)));
}
public Expression> times(QuantifiedValue right) {
return times(ResolvedExpression.of(right));
}
public Expression> times(Expression> right) {
return new BinaryOperationExpression<>(pseudoField.multiplication(), left, right);
}
public Expression> dividedBy(QuantifiedValue right) {
return dividedBy(ResolvedExpression.of(right));
}
public Expression> dividedBy(Expression> right) {
return new BinaryOperationExpression<>(pseudoField.division(), left, right);
}
}