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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.searchlib.rankingexpression.rule;
import com.yahoo.tensor.functions.ScalarFunctions;
import java.io.Serializable;
import static java.lang.Math.*;
/**
* A scalar function
*
* @author bratseth
*/
public enum Function implements Serializable {
abs { public double evaluate(double x, double y) { return abs(x); } },
acos { public double evaluate(double x, double y) { return acos(x); } },
asin { public double evaluate(double x, double y) { return asin(x); } },
atan { public double evaluate(double x, double y) { return atan(x); } },
ceil { public double evaluate(double x, double y) { return ceil(x); } },
cos { public double evaluate(double x, double y) { return cos(x); } },
cosh { public double evaluate(double x, double y) { return cosh(x); } },
elu { public double evaluate(double x, double y) { return x<0 ? exp(x)-1 : x; } },
exp { public double evaluate(double x, double y) { return exp(x); } },
fabs { public double evaluate(double x, double y) { return abs(x); } },
floor { public double evaluate(double x, double y) { return floor(x); } },
isNan { public double evaluate(double x, double y) { return Double.isNaN(x) ? 1.0 : 0.0; } },
log { public double evaluate(double x, double y) { return log(x); } },
log10 { public double evaluate(double x, double y) { return log10(x); } },
relu { public double evaluate(double x, double y) { return max(x,0); } },
round { public double evaluate(double x, double y) { return round(x); } },
sigmoid { public double evaluate(double x, double y) { return 1.0 / (1.0 + exp(-1.0 * x)); } },
sign { public double evaluate(double x, double y) { return x >= 0 ? 1 : -1; } },
sin { public double evaluate(double x, double y) { return sin(x); } },
sinh { public double evaluate(double x, double y) { return sinh(x); } },
square { public double evaluate(double x, double y) { return x*x; } },
sqrt { public double evaluate(double x, double y) { return sqrt(x); } },
tan { public double evaluate(double x, double y) { return tan(x); } },
tanh { public double evaluate(double x, double y) { return tanh(x); } },
erf { public double evaluate(double x, double y) { return ScalarFunctions.Erf.erf(x); } },
atan2(2) { public double evaluate(double x, double y) { return atan2(x,y); } },
fmod(2) { public double evaluate(double x, double y) { return x % y; } },
ldexp(2) { public double evaluate(double x, double y) { return x*pow(2,(int)y); } },
max(2) { public double evaluate(double x, double y) { return max(x,y); } },
min(2) { public double evaluate(double x, double y) { return min(x,y); } },
pow(2) { public double evaluate(double x, double y) { return pow(x,y); } },
bit(2) { public double evaluate(double x, double y) { return ((int)y < 8 && (int)y >= 0 && ((int)x & (1 << (int)y)) != 0) ? 1.0 : 0.0; } },
hamming(2) { public double evaluate(double x, double y) { return ScalarFunctions.Hamming.hamming(x, y); } };
private final int arity;
Function() {
this(1);
}
Function(int arity) {
this.arity = arity;
}
/** Perform the function on the input */
public abstract double evaluate(double x, double y);
/** Returns the number of arguments this function takes */
public int arity() { return arity; }
}
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