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// Copyright Yahoo. 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.TensorType;
import com.yahoo.tensor.evaluation.Name;
import java.util.Collections;
import java.util.List;
import java.util.Objects;
import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.Stream;
/**
* A tensor generator which returns a tensor of any dimension filled with the sum of the tensor
* indexes of each position.
*
* @author bratseth
*/
public class Range<NAMETYPE extends Name> extends CompositeTensorFunction<NAMETYPE> {
private final TensorType type;
private final Function<List<Long>, Double> rangeFunction;
public Range(TensorType type) {
this.type = type;
this.rangeFunction = ScalarFunctions.sum(dimensionNames().toList());
}
@Override
public List<TensorFunction<NAMETYPE>> arguments() { return Collections.emptyList(); }
@Override
public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
if ( arguments.size() != 0)
throw new IllegalArgumentException("Range must have 0 arguments, got " + arguments.size());
return this;
}
@Override
public PrimitiveTensorFunction<NAMETYPE> toPrimitive() {
return new Generate<>(type, rangeFunction);
}
@Override
public String toString(ToStringContext<NAMETYPE> context) {
return "range(" + dimensionNames().collect(Collectors.joining(",")) + ")" + rangeFunction;
}
private Stream<String> dimensionNames() {
return type.dimensions().stream().map(TensorType.Dimension::toString);
}
@Override
public int hashCode() {
return Objects.hash("range", type, rangeFunction);
}
}
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