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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#pragma once
#include <vespa/eval/eval/tensor_function.h>
namespace vespalib::eval {
/**
* Tensor function for a concat forming a vector from double values
* TODO: consider removing this, since the user can write a tensor
* create expression instead.
*/
class VectorFromDoublesFunction : public TensorFunction
{
public:
struct Self {
const ValueType resultType;
size_t resultSize;
Self(const ValueType &r, size_t n) : resultType(r), resultSize(n) {}
};
private:
Self _self;
std::vector<Child> _children;
void add(const TensorFunction &child);
public:
VectorFromDoublesFunction(std::vector<Child> children, const ValueType &res_type);
~VectorFromDoublesFunction();
const ValueType &result_type() const override { return _self.resultType; }
void push_children(std::vector<Child::CREF> &children) const override;
const vespalib::string &dimension() const {
return _self.resultType.dimensions()[0].name;
}
size_t size() const { return _self.resultSize; }
InterpretedFunction::Instruction compile_self(const ValueBuilderFactory &factory, Stash &stash) const override;
bool result_is_mutable() const override { return true; }
static const TensorFunction &optimize(const TensorFunction &expr, Stash &stash);
};
} // namespace vespalib::eval
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