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/*
 * Copyright 2016 Davide Maestroni
 *
 * 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.
 */

package com.github.dm.jrt.operator;

import com.github.dm.jrt.core.channel.Channel;
import com.github.dm.jrt.core.invocation.Invocation;
import com.github.dm.jrt.core.invocation.InvocationFactory;
import com.github.dm.jrt.core.invocation.TemplateInvocation;

import org.jetbrains.annotations.NotNull;

import static com.github.dm.jrt.operator.math.Numbers.addOptimistic;

/**
 * Invocation computing the sum of the input numbers.
 * 
* The result will have the type matching the input with the highest precision. *

* Created by davide-maestroni on 05/02/2016. */ class SumInvocation extends TemplateInvocation { private static final InvocationFactory sFactory = new InvocationFactory(null) { @NotNull @Override public Invocation newInvocation() { return new SumInvocation(); } }; private Number mSum; /** * Constructor. */ private SumInvocation() { } /** * Returns a factory of invocations computing the sum of the input numbers. * * @return the factory instance. */ @NotNull static InvocationFactory factoryOf() { return sFactory; } @Override public void onComplete(@NotNull final Channel result) { result.pass(mSum); } @Override public void onInput(final Number input, @NotNull final Channel result) { mSum = addOptimistic(mSum, input); } @Override public void onRestart() { mSum = 0; } }





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