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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#pragma once
#include "distance_function.h"
#include <vespa/eval/eval/typed_cells.h>
#include <memory>
namespace search::tensor {
/**
* Interface used to calculate the distance from a prebound n-dimensional vector.
*
* Use from a single thread only - not required to be thread safe.
* The actual implementation may keep state about the prebound vector and
* mutable temporary storage.
*/
class BoundDistanceFunction : public DistanceConverter {
public:
using UP = std::unique_ptr<BoundDistanceFunction>;
using TypedCells = vespalib::eval::TypedCells;
using Int8Float = vespalib::eval::Int8Float;
BoundDistanceFunction() noexcept = default;
~BoundDistanceFunction() override = default;
// calculate internal distance (comparable)
virtual double calc(TypedCells rhs) const noexcept = 0;
// calculate internal distance, early return allowed if > limit
virtual double calc_with_limit(TypedCells rhs, double limit) const noexcept = 0;
protected:
static const double *cast(const double * p) { return p; }
static const float *cast(const float * p) { return p; }
static const int8_t *cast(const Int8Float * p) { return reinterpret_cast<const int8_t *>(p); }
};
}
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