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/*
* Copyright (c) "Neo4j"
* Neo4j Sweden AB [http://neo4j.com]
*
* This file is part of Neo4j.
*
* Neo4j is free software: you can redistribute it and/or modify
* it under the terms of the GNU 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
package org.neo4j.gds.influenceMaximization;
import com.carrotsearch.hppc.LongDoubleScatterMap;
import org.neo4j.gds.executor.AlgorithmSpec;
import org.neo4j.gds.executor.ComputationResultConsumer;
import org.neo4j.gds.executor.ExecutionContext;
import org.neo4j.gds.executor.GdsCallable;
import org.neo4j.gds.executor.NewConfigFunction;
import java.util.stream.LongStream;
import java.util.stream.Stream;
import static org.neo4j.gds.LoggingUtil.runWithExceptionLogging;
import static org.neo4j.gds.executor.ExecutionMode.STREAM;
import static org.neo4j.gds.influenceMaximization.CELFStreamProc.DESCRIPTION;
@GdsCallable(
name = "gds.influenceMaximization.celf.stream",
aliases = {"gds.beta.influenceMaximization.celf.stream"},
description = DESCRIPTION,
executionMode = STREAM
)
public class CELFStreamSpec implements AlgorithmSpec, CELFAlgorithmFactory> {
@Override
public String name() {
return "CELFStream";
}
@Override
public CELFAlgorithmFactory algorithmFactory(ExecutionContext executionContext) {
return new CELFAlgorithmFactory<>();
}
@Override
public NewConfigFunction newConfigFunction() {
return (__, userInput) -> InfluenceMaximizationStreamConfig.of(userInput);
}
@Override
public ComputationResultConsumer> computationResultConsumer() {
return (computationResult, executionContext) -> runWithExceptionLogging(
"Result streaming failed",
executionContext.log(),
() -> computationResult.result()
.map(result -> {
var graph = computationResult.graph();
return LongStream.of(result.keys().toArray())
.mapToObj(node -> new StreamResult(
graph.toOriginalNodeId(node),
result.getOrDefault(node, 0)
));
})
.orElseGet(Stream::empty)
);
}
}
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