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// Copyright 2017 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.tensor.functions;

import com.yahoo.tensor.evaluation.Name;

import java.util.Collections;
import java.util.List;

/**
 * @author bratseth
 */
public class Argmax<NAMETYPE extends Name> extends CompositeTensorFunction<NAMETYPE> {

    private final TensorFunction<NAMETYPE> argument;
    private final String dimension;

    public Argmax(TensorFunction<NAMETYPE> argument, String dimension) {
        this.argument = argument;
        this.dimension = dimension;
    }

    @Override
    public List<TensorFunction<NAMETYPE>> arguments() { return Collections.singletonList(argument); }

    @Override
    public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
        if ( arguments.size() != 1)
            throw new IllegalArgumentException("Argmax must have 1 argument, got " + arguments.size());
        return new Argmax<>(arguments.get(0), dimension);
    }

    @Override
    public PrimitiveTensorFunction<NAMETYPE> toPrimitive() {
        TensorFunction<NAMETYPE> primitiveArgument = argument.toPrimitive();
        return new Join<>(primitiveArgument,
                          new Reduce<>(primitiveArgument, Reduce.Aggregator.max, dimension),
                          ScalarFunctions.equal());
    }

    @Override
    public String toString(ToStringContext context) {
        return "argmax(" + argument.toString(context) + ", " + dimension + ")";
    }

}