Java tutorial
// @formatter:off /******************************************************************************* * * This file is part of tensorics. * * Copyright (c) 2008-2016, 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. * ******************************************************************************/ // @formatter:on package org.tensorics.core.function; import java.util.Collection; import java.util.Comparator; import java.util.stream.Collectors; import org.tensorics.core.commons.operations.Conversion; import org.tensorics.core.function.interpolation.InterpolationStrategy; import org.tensorics.core.lang.Tensorics; import org.tensorics.core.reduction.ToFunctions; import org.tensorics.core.tensor.Tensor; import com.google.common.base.Preconditions; /** * Provides utility method for transforming {@link MathFunction}s * * @author caguiler, kfuchsbe */ public class MathFunctions { public static <X, Y> Tensor<DiscreteFunction<X, Y>> functionsFrom(Tensor<Y> tensor, Class<X> dimensionClass) { Preconditions.checkArgument(tensor.shape().dimensionality() >= 1, "tensor must contain at least one dimension"); return Tensorics.from(tensor).reduce(dimensionClass).by(new ToFunctions<>()); } public static <X, Y> DiscreteFunction<X, Y> functionFrom1DTensor(Tensor<Y> tensor, Class<X> dimensionClass) { Preconditions.checkArgument(tensor.shape().dimensionality() == 1, "tensor must be one-dimensional"); return functionsFrom(tensor, dimensionClass).get(); } public static <X, Y> InterpolatedFunction<X, Y> interpolated(DiscreteFunction<X, Y> function, InterpolationStrategy<Y> strategy, Conversion<X, Y> conversion, Comparator<X> comparator) { return new DefaultInterpolatedFunction<>(function, strategy, conversion, comparator); } public static <X, Y> Collection<Y> yValuesOf(DiscreteFunction<X, Y> function) { Preconditions.checkNotNull(function, "function cannot be null!"); return function.definedXValues().stream().map(function::apply).collect(Collectors.toList()); } }