view OrthancStone/Sources/Loaders/IFetchingItemsSorter.h @ 2078:fdb012c86a75 deep-learning

integration mainline->deep-learning
author Sebastien Jodogne <s.jodogne@gmail.com>
date Wed, 12 Jul 2023 21:21:11 +0200
parents 07964689cb0b
children c23eef785569
line wrap: on
line source

/**
 * Stone of Orthanc
 * Copyright (C) 2012-2016 Sebastien Jodogne, Medical Physics
 * Department, University Hospital of Liege, Belgium
 * Copyright (C) 2017-2023 Osimis S.A., Belgium
 * Copyright (C) 2021-2023 Sebastien Jodogne, ICTEAM UCLouvain, Belgium
 *
 * This program is free software: you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public License
 * as published by the Free Software Foundation, either version 3 of
 * the License, or (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful, but
 * WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
 * Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this program. If not, see
 * <http://www.gnu.org/licenses/>.
 **/


#pragma once

#include <boost/noncopyable.hpp>
#include <vector>

namespace OrthancStone
{
  class IFetchingItemsSorter : public boost::noncopyable
  {
  public:
    class IFactory : public boost::noncopyable
    {
    public:
      virtual ~IFactory()
      {
      }

      virtual IFetchingItemsSorter* CreateSorter(unsigned int itemsCount) const = 0;
    };

    virtual ~IFetchingItemsSorter()
    {
    }

    virtual unsigned int GetItemsCount() const = 0;

    // Sort a set of items given the current item
    virtual void Sort(std::vector<unsigned int>& target,
                      unsigned int current) = 0;
  };
};