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MaxTypes.h
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MaxTypes.h
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/*!
* \author Ruben Martins - ruben@sat.inesc-id.pt
*
* @section LICENSE
*
* Open-WBO, Copyright (c) 2013-2017, Ruben Martins, Vasco Manquinho, Ines Lynce
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*/
#ifndef MaxTypes_h
#define MaxTypes_h
enum { _FORMAT_MAXSAT_ = 0, _FORMAT_PB_ };
enum { _VERBOSITY_MINIMAL_ = 0, _VERBOSITY_SOME_ };
enum { _UNWEIGHTED_ = 0, _WEIGHTED_ };
enum { _WEIGHT_NONE_ = 0, _WEIGHT_NORMAL_, _WEIGHT_DIVERSIFY_ };
enum {
_ALGORITHM_WBO_ = 0,
_ALGORITHM_LINEAR_SU_,
_ALGORITHM_MSU3_,
_ALGORITHM_PART_MSU3_,
_ALGORITHM_OLL_,
_ALGORITHM_BEST_,
_ALGORITHM_LSU_CLUSTER_,
_ALGORITHM_LSU_MRSBEAVER_,
_ALGORITHM_LSU_MCS_
};
enum {
_SATISFIABLE_ = 10,
_UNSATISFIABLE_ = 20,
_OPTIMUM_ = 30,
_UNKNOWN_ = 40,
_ERROR_ = 50
};
enum {
_INCREMENTAL_NONE_ = 0,
_INCREMENTAL_BLOCKING_,
_INCREMENTAL_WEAKENING_,
_INCREMENTAL_ITERATIVE_
};
enum { _CARD_CNETWORKS_ = 0, _CARD_TOTALIZER_, _CARD_MTOTALIZER_ };
enum { _AMO_LADDER_ = 0 };
enum { _PB_SWC_ = 0, _PB_GTE_, _PB_GTECLUSTER_, _PB_GTE_INC_, _PB_ADDER_ };
enum { _PART_SEQUENTIAL_ = 0, _PART_SEQUENTIAL_SORTED_, _PART_BINARY_ };
enum class Statistics {
_MEAN_ = 0,
_MEDIAN_ = 1,
_MIN_ = 2,
_MAX_
};
enum class ClusterAlg {
_DIVISIVE_
};
#endif