From 639fe805972784853d71efe178e9ae78a77e6b98 Mon Sep 17 00:00:00 2001 From: Jan Baudisch Date: Tue, 8 Oct 2024 17:33:08 +0200 Subject: [PATCH] feat: add GMPC --- 3rdParty/GPMC/CHANGELOG.md | 19 + 3rdParty/GPMC/CMakeLists.txt | 44 + 3rdParty/GPMC/LICENSE.md | 21 + 3rdParty/GPMC/README.md | 66 + 3rdParty/GPMC/cmake/FindGMP.cmake | 78 + 3rdParty/GPMC/core/BoundedQueue.h | 110 + 3rdParty/GPMC/core/Component.h | 951 + 3rdParty/GPMC/core/ComponentCache.cc | 267 + 3rdParty/GPMC/core/ComponentManager.cc | 389 + 3rdParty/GPMC/core/Config.cc | 106 + 3rdParty/GPMC/core/Config.h | 84 + 3rdParty/GPMC/core/Constants.h | 33 + 3rdParty/GPMC/core/Counter.cc | 1127 + 3rdParty/GPMC/core/Counter.h | 147 + 3rdParty/GPMC/core/Dimacs.h | 190 + 3rdParty/GPMC/core/Instance.cc | 374 + 3rdParty/GPMC/core/Instance.h | 82 + 3rdParty/GPMC/core/Solver.cc | 1489 + 3rdParty/GPMC/core/Solver.h | 476 + 3rdParty/GPMC/core/SolverTypes.h | 438 + 3rdParty/GPMC/core/gpmc.cpp | 88 + 3rdParty/GPMC/ddnnf/DecisionTree.cc | 351 + 3rdParty/GPMC/ddnnf/DecisionTree.h | 154 + 3rdParty/GPMC/example/README.txt | 94 + 3rdParty/GPMC/example/mc2022_track3_003.cnf | 274822 +++++++++++++++ 3rdParty/GPMC/example/mc2022_track3_003.nnf | 2707 + .../GPMC/flow-cutter-pace17/CMakeLists.txt | 12 + 3rdParty/GPMC/flow-cutter-pace17/LICENSE | 22 + 3rdParty/GPMC/flow-cutter-pace17/Makefile | 312 + 3rdParty/GPMC/flow-cutter-pace17/README.md | 45 + 3rdParty/GPMC/flow-cutter-pace17/build.sh | 3 + .../flow-cutter-pace17/src/array_id_func.h | 188 + .../GPMC/flow-cutter-pace17/src/back_arc.h | 51 + .../GPMC/flow-cutter-pace17/src/cch_order.h | 784 + 3rdParty/GPMC/flow-cutter-pace17/src/cell.cpp | 20 + 3rdParty/GPMC/flow-cutter-pace17/src/cell.h | 26 + 3rdParty/GPMC/flow-cutter-pace17/src/chain.h | 54 + .../src/connected_components.h | 218 + .../src/contraction_graph.h | 279 + .../GPMC/flow-cutter-pace17/src/count_range.h | 47 + 3rdParty/GPMC/flow-cutter-pace17/src/filter.h | 73 + .../GPMC/flow-cutter-pace17/src/flow_cutter.h | 1147 + .../src/flow_cutter_config.h | 188 + .../flow-cutter-pace17/src/greedy_order.cpp | 184 + .../flow-cutter-pace17/src/greedy_order.h | 9 + 3rdParty/GPMC/flow-cutter-pace17/src/heap.h | 527 + .../GPMC/flow-cutter-pace17/src/histogram.h | 66 + .../GPMC/flow-cutter-pace17/src/id_func.h | 119 + .../flow-cutter-pace17/src/id_func_traits.h | 76 + .../flow-cutter-pace17/src/id_multi_func.h | 146 + .../GPMC/flow-cutter-pace17/src/id_sort.h | 39 + .../GPMC/flow-cutter-pace17/src/io_helper.h | 36 + .../flow-cutter-pace17/src/list_graph.cpp | 65 + .../GPMC/flow-cutter-pace17/src/list_graph.h | 23 + .../GPMC/flow-cutter-pace17/src/min_max.h | 75 + .../GPMC/flow-cutter-pace17/src/multi_arc.h | 103 + .../flow-cutter-pace17/src/node_flow_cutter.h | 296 + 3rdParty/GPMC/flow-cutter-pace17/src/pace.cpp | 573 + .../GPMC/flow-cutter-pace17/src/permutation.h | 48 + .../GPMC/flow-cutter-pace17/src/preorder.h | 56 + 3rdParty/GPMC/flow-cutter-pace17/src/range.h | 17 + .../GPMC/flow-cutter-pace17/src/separator.h | 282 + .../GPMC/flow-cutter-pace17/src/sort_arc.h | 38 + .../flow-cutter-pace17/src/tiny_id_func.h | 155 + 3rdParty/GPMC/flow-cutter-pace17/src/tree.h | 40 + .../src/tree_decomposition.cpp | 208 + .../src/tree_decomposition.h | 12 + .../src/tree_node_ranking.h | 205 + .../GPMC/flow-cutter-pace17/src/union_find.h | 89 + 3rdParty/GPMC/include/gpmc.hpp | 11 + 3rdParty/GPMC/mtl/Alg.h | 84 + 3rdParty/GPMC/mtl/Alloc.h | 131 + 3rdParty/GPMC/mtl/Heap.h | 148 + 3rdParty/GPMC/mtl/IntTypes.h | 46 + 3rdParty/GPMC/mtl/Map.h | 193 + 3rdParty/GPMC/mtl/Queue.h | 69 + 3rdParty/GPMC/mtl/Sort.h | 98 + 3rdParty/GPMC/mtl/Vec.h | 130 + 3rdParty/GPMC/mtl/XAlloc.h | 47 + 3rdParty/GPMC/mtl/config.mk | 6 + 3rdParty/GPMC/mtl/template.mk | 106 + 3rdParty/GPMC/preprocessor/IFlowCutter.cc | 691 + 3rdParty/GPMC/preprocessor/IFlowCutter.h | 42 + 3rdParty/GPMC/preprocessor/Preprocessor.cc | 939 + 3rdParty/GPMC/preprocessor/Preprocessor.h | 91 + 3rdParty/GPMC/preprocessor/TestSolver.cc | 232 + 3rdParty/GPMC/preprocessor/TestSolver.h | 44 + .../GPMC/preprocessor/TreeDecomposition.cc | 204 + .../GPMC/preprocessor/TreeDecomposition.h | 90 + .../GPMC/preprocessor/lib_sharpsat_td/LICENSE | 27 + .../preprocessor/lib_sharpsat_td/README.txt | 9 + .../preprocessor/lib_sharpsat_td/bitset.hpp | 304 + .../preprocessor/lib_sharpsat_td/subsumer.cpp | 197 + .../preprocessor/lib_sharpsat_td/subsumer.hpp | 35 + .../preprocessor/lib_sharpsat_td/utils.hpp | 276 + 3rdParty/GPMC/utils/Makefile | 4 + 3rdParty/GPMC/utils/Options.cc | 91 + 3rdParty/GPMC/utils/Options.h | 386 + 3rdParty/GPMC/utils/ParseUtils.h | 179 + 3rdParty/GPMC/utils/System.cc | 97 + 3rdParty/GPMC/utils/System.h | 67 + flake.nix | 4 + nix/gpmc.nix | 34 + 103 files changed, 296775 insertions(+) create mode 100644 3rdParty/GPMC/CHANGELOG.md create mode 100755 3rdParty/GPMC/CMakeLists.txt create mode 100755 3rdParty/GPMC/LICENSE.md create mode 100644 3rdParty/GPMC/README.md create mode 100644 3rdParty/GPMC/cmake/FindGMP.cmake create mode 100644 3rdParty/GPMC/core/BoundedQueue.h create mode 100644 3rdParty/GPMC/core/Component.h create mode 100644 3rdParty/GPMC/core/ComponentCache.cc create mode 100644 3rdParty/GPMC/core/ComponentManager.cc create mode 100644 3rdParty/GPMC/core/Config.cc create mode 100644 3rdParty/GPMC/core/Config.h create mode 100644 3rdParty/GPMC/core/Constants.h create mode 100644 3rdParty/GPMC/core/Counter.cc create mode 100644 3rdParty/GPMC/core/Counter.h create mode 100644 3rdParty/GPMC/core/Dimacs.h create mode 100644 3rdParty/GPMC/core/Instance.cc create mode 100644 3rdParty/GPMC/core/Instance.h create mode 100644 3rdParty/GPMC/core/Solver.cc create mode 100644 3rdParty/GPMC/core/Solver.h create mode 100644 3rdParty/GPMC/core/SolverTypes.h create mode 100644 3rdParty/GPMC/core/gpmc.cpp create mode 100644 3rdParty/GPMC/ddnnf/DecisionTree.cc create mode 100644 3rdParty/GPMC/ddnnf/DecisionTree.h create mode 100644 3rdParty/GPMC/example/README.txt create mode 100644 3rdParty/GPMC/example/mc2022_track3_003.cnf create mode 100644 3rdParty/GPMC/example/mc2022_track3_003.nnf create mode 100644 3rdParty/GPMC/flow-cutter-pace17/CMakeLists.txt create mode 100644 3rdParty/GPMC/flow-cutter-pace17/LICENSE create mode 100644 3rdParty/GPMC/flow-cutter-pace17/Makefile create mode 100644 3rdParty/GPMC/flow-cutter-pace17/README.md create mode 100644 3rdParty/GPMC/flow-cutter-pace17/build.sh create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/array_id_func.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/back_arc.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/cch_order.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/cell.cpp create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/cell.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/chain.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/connected_components.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/contraction_graph.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/count_range.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/filter.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/flow_cutter.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/flow_cutter_config.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/greedy_order.cpp create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/greedy_order.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/heap.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/histogram.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/id_func.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/id_func_traits.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/id_multi_func.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/id_sort.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/io_helper.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/list_graph.cpp create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/list_graph.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/min_max.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/multi_arc.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/node_flow_cutter.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/pace.cpp create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/permutation.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/preorder.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/range.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/separator.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/sort_arc.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/tiny_id_func.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/tree.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/tree_decomposition.cpp create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/tree_decomposition.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/tree_node_ranking.h create mode 100644 3rdParty/GPMC/flow-cutter-pace17/src/union_find.h create mode 100644 3rdParty/GPMC/include/gpmc.hpp create mode 100644 3rdParty/GPMC/mtl/Alg.h create mode 100644 3rdParty/GPMC/mtl/Alloc.h create mode 100644 3rdParty/GPMC/mtl/Heap.h create mode 100644 3rdParty/GPMC/mtl/IntTypes.h create mode 100644 3rdParty/GPMC/mtl/Map.h create mode 100644 3rdParty/GPMC/mtl/Queue.h create mode 100644 3rdParty/GPMC/mtl/Sort.h create mode 100644 3rdParty/GPMC/mtl/Vec.h create mode 100644 3rdParty/GPMC/mtl/XAlloc.h create mode 100644 3rdParty/GPMC/mtl/config.mk create mode 100644 3rdParty/GPMC/mtl/template.mk create mode 100644 3rdParty/GPMC/preprocessor/IFlowCutter.cc create mode 100644 3rdParty/GPMC/preprocessor/IFlowCutter.h create mode 100644 3rdParty/GPMC/preprocessor/Preprocessor.cc create mode 100644 3rdParty/GPMC/preprocessor/Preprocessor.h create mode 100644 3rdParty/GPMC/preprocessor/TestSolver.cc create mode 100644 3rdParty/GPMC/preprocessor/TestSolver.h create mode 100644 3rdParty/GPMC/preprocessor/TreeDecomposition.cc create mode 100644 3rdParty/GPMC/preprocessor/TreeDecomposition.h create mode 100644 3rdParty/GPMC/preprocessor/lib_sharpsat_td/LICENSE create mode 100644 3rdParty/GPMC/preprocessor/lib_sharpsat_td/README.txt create mode 100644 3rdParty/GPMC/preprocessor/lib_sharpsat_td/bitset.hpp create mode 100644 3rdParty/GPMC/preprocessor/lib_sharpsat_td/subsumer.cpp create mode 100644 3rdParty/GPMC/preprocessor/lib_sharpsat_td/subsumer.hpp create mode 100644 3rdParty/GPMC/preprocessor/lib_sharpsat_td/utils.hpp create mode 100644 3rdParty/GPMC/utils/Makefile create mode 100644 3rdParty/GPMC/utils/Options.cc create mode 100644 3rdParty/GPMC/utils/Options.h create mode 100644 3rdParty/GPMC/utils/ParseUtils.h create mode 100644 3rdParty/GPMC/utils/System.cc create mode 100644 3rdParty/GPMC/utils/System.h create mode 100644 nix/gpmc.nix diff --git a/3rdParty/GPMC/CHANGELOG.md b/3rdParty/GPMC/CHANGELOG.md new file mode 100644 index 00000000..ee7ea2da --- /dev/null +++ b/3rdParty/GPMC/CHANGELOG.md @@ -0,0 +1,19 @@ +# Change Log + +## [1.1.1] - 2022/08/26 +### Added +- Add a function to contruct a d-DNNF with a variable mapping +- Deal with natural number weights of literals (-natw option) + +### Changed +- Improve the preprocessor (refactoring) +- change the public methods of Counter class + +## [1.1] - 2022/06/21 +### Added +- Add a preprocessor for simplying input CNF. +- Use FlowCutter for tree decomposition. The result is used for variable selection heuristics. +- Deal with Weighted model counting + +### Removed +- Options "-pp" and "-upto" \ No newline at end of file diff --git a/3rdParty/GPMC/CMakeLists.txt b/3rdParty/GPMC/CMakeLists.txt new file mode 100755 index 00000000..da99ceb5 --- /dev/null +++ b/3rdParty/GPMC/CMakeLists.txt @@ -0,0 +1,44 @@ +cmake_minimum_required(VERSION 3.0) + +project(GMPC VERSION 2.0.0 LANGUAGES CXX) + +set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_CURRENT_SOURCE_DIR}/cmake") + +find_package(GMP REQUIRED) +find_package(arjun REQUIRED) +find_package(ZLIB REQUIRED) + +include_directories(${CMAKE_CURRENT_SOURCE_DIR}) +include_directories(${CMAKE_CURRENT_SOURCE_DIR}/include) +include_directories(${CMAKE_CURRENT_SOURCE_DIR}/../..) +include_directories(${GMP_INCLUDE_DIRS}) +include_directories(${GMPXX_INCLUDE_DIRS}) +include_directories(${arjun_INCLUDE_DIR}) +include_directories(${ZLIB_INCLUDE_DIR}) + +add_subdirectory(flow-cutter-pace17) + +add_library(gpmc + core/ComponentCache.cc + core/ComponentManager.cc + core/Counter.cc + core/Config.cc + core/Instance.cc + ddnnf/DecisionTree.cc + core/Solver.cc + utils/Options.cc + utils/System.cc + preprocessor/Preprocessor.cc + preprocessor/TestSolver.cc + preprocessor/lib_sharpsat_td/subsumer.cpp + preprocessor/TreeDecomposition.cc + preprocessor/IFlowCutter.cc + core/gpmc.cpp + core/Solver.h +) + +set_target_properties(gpmc PROPERTIES PUBLIC_HEADER include/gpmc.hpp) + +target_link_libraries(gpmc GMP::GMP GMP::GMPXX arjun ZLIB::ZLIB flowcutter) + +install(TARGETS gpmc) diff --git a/3rdParty/GPMC/LICENSE.md b/3rdParty/GPMC/LICENSE.md new file mode 100755 index 00000000..7d9950c5 --- /dev/null +++ b/3rdParty/GPMC/LICENSE.md @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2020 Kenji Hashimoto + +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. diff --git a/3rdParty/GPMC/README.md b/3rdParty/GPMC/README.md new file mode 100644 index 00000000..73e688bb --- /dev/null +++ b/3rdParty/GPMC/README.md @@ -0,0 +1,66 @@ +# GPMC + +GPMC is an exact model counter for CNF formulas. The current version of GPMC supports model counting, weighted model counting, projected model counting, and weighted projected model counting. + +The source codes of this software are based on those of MiniSat-based Sat solver [Glucose1 3.0](https://www.labri.fr/perso/lsimon/Glucose1/) and [SharpSAT](https://github.com/marcthurley/sharpSAT) 12.08.1. +And also, inspired by [sharpSAT-TD](https://github.com/Laakeri/sharpsat-td), the current version incorporates +a preprocessor for simplifying input formulas, and uses tree decomposition in decision heuristics. +In the implementation, we use a part of source files of the preprocessor in sharpSAT-TD, and use [FlowCutter](https://github.com/kit-algo/flow-cutter-pace17) for tree decomposition. + +## Installation +See `INSTALL.md`. + +## Usage +``` +$ ./gpmc [options] [file] +``` +Options: + +- -mode=<0..3> + - 0 : Model Counting + - 1 : Weighted Model Counting + - 2 : Projected Model Counting + - 3 : Weighted Projected Model Counting + +- -ddnnf / -no-ddnnf + construct a d-DNNF with a variable mapping (default: off). + The d-DNNF is for the CNF simplified by the preprocessor. + The information about the correspondence between the input and simplified CNF is maintained. + +- -nnfout=\ + write a constructed d-DNNF to the specified file when -ddnnf is set (default: no file output). + The variable correpondance + +- -natw / -no-natw + use mpz_class as the internal data type for weights when weighted model counting (default: off, use mpfr::mpreal). + Note that we must give natual number weights for each literals in an input file (like "c p weight 1 2 0"). + +- -prec=\<1..intmax> + set the precision of floating-point numbers (default: 15). + +- -cs=\<1..intmax> + set maximum component cache size (MB) (default: 4000) + NOTE: This bound is only for component cache. GPMC may use much more memory. + +## Input file format +Input boolean formulas should be in DIMACS CNF format, together with additional information, weights and projection variables. +GPMC supports the [MCC2021 format](https://mccompetition.org/assets/files/2021/competition2021.pdf). + +Example: + +``` +p cnf 3 4 +c p show 2 3 0 +c p weight 2 0.6 0 +c p weight -2 0.4 0 +-1 2 0 +-2 3 0 +2 -3 0 +1 -2 3 0 +``` +The set of projection variables is { 2, 3 }. +The weight of the positive literal of var 2 is 0.6, and that of the negative one is 0.4. + +## Author +[Kenji Hashimoto](https://www.trs.cm.is.nagoya-u.ac.jp/~k-hasimt/index-e.html), +Nagoya University, Japan. diff --git a/3rdParty/GPMC/cmake/FindGMP.cmake b/3rdParty/GPMC/cmake/FindGMP.cmake new file mode 100644 index 00000000..2b543c56 --- /dev/null +++ b/3rdParty/GPMC/cmake/FindGMP.cmake @@ -0,0 +1,78 @@ +include(FindPackageHandleStandardArgs) + +# Keep track of the original library suffixes to reset them later. +set(_gmp_ORIG_CMAKE_FIND_LIBRARY_SUFFIXES ${CMAKE_FIND_LIBRARY_SUFFIXES}) + +# Look for .a or .lib libraries in case of a static library. +if(GMP_USE_STATIC_LIBS) + set(CMAKE_FIND_LIBRARY_SUFFIXES .a .lib) +endif() + +# Find libraries and headers. +find_library(GMP_LIBRARY NAMES gmp) +find_path(GMP_INCLUDE_DIR NAMES gmp.h) + +find_library(GMPXX_LIBRARY NAMES gmpxx) +find_path(GMPXX_INCLUDE_DIR NAMES gmpxx.h) + +# Windows (dynamic): Also find import libraries. +if(WIN32 AND NOT GMP_USE_STATIC_LIBS) + set(CMAKE_FIND_LIBRARY_SUFFIXES .dll.a .lib) + find_library(GMP_IMPORT_LIBRARY NAMES gmp) + find_library(GMPXX_IMPORT_LIBRARY NAMES gmpxx) +endif() + +# Reset library suffixes. +set(CMAKE_FIND_LIBRARY_SUFFIXES ${_gmp_ORIG_CMAKE_FIND_LIBRARY_SUFFIXES}) + +# Register the found package. +if(WIN32 AND NOT GMP_USE_STATIC_LIBS) + # Windows (dynamic): also require import libraries. + find_package_handle_standard_args(GMP REQUIRED_VARS GMP_LIBRARY GMP_IMPORT_LIBRARY GMP_INCLUDE_DIR GMPXX_LIBRARY GMPXX_IMPORT_LIBRARY GMPXX_INCLUDE_DIR) +else() + find_package_handle_standard_args(GMP REQUIRED_VARS GMP_LIBRARY GMP_INCLUDE_DIR GMPXX_LIBRARY GMPXX_INCLUDE_DIR) +endif() + +if(GMP_FOUND) + mark_as_advanced(GMP_LIBRARY) + mark_as_advanced(GMP_IMPORT_LIBRARY) + mark_as_advanced(GMP_INCLUDE_DIR) + mark_as_advanced(GMPXX_LIBRARY) + mark_as_advanced(GMPXX_IMPORT_LIBRARY) + mark_as_advanced(GMPXX_INCLUDE_DIR) + + # Create targets in case not already done. + if(NOT TARGET GMP::GMP) + if(GMP_USE_STATIC_LIBS) + add_library(GMP::GMP STATIC IMPORTED) + else() + add_library(GMP::GMP SHARED IMPORTED) + endif() + + # Set library and include paths. + set_target_properties(GMP::GMP PROPERTIES IMPORTED_LOCATION ${GMP_LIBRARY}) + target_include_directories(GMP::GMP INTERFACE ${GMP_INCLUDE_DIR}) + + # Windows (dynamic): Also set import library. + if(WIN32 AND NOT GMP_USE_STATIC_LIBS) + set_target_properties(GMP::GMP PROPERTIES IMPORTED_IMPLIB ${GMP_IMPORT_LIBRARY}) + endif() + endif() + + if(NOT TARGET GMP::GMPXX) + if(GMP_USE_STATIC_LIBS) + add_library(GMP::GMPXX STATIC IMPORTED) + else() + add_library(GMP::GMPXX SHARED IMPORTED) + endif() + + # Set library and include paths. + set_target_properties(GMP::GMPXX PROPERTIES IMPORTED_LOCATION ${GMPXX_LIBRARY}) + target_include_directories(GMP::GMPXX INTERFACE ${GMPXX_INCLUDE_DIR}) + + # Windows (dynamic): Also set import library. + if(WIN32 AND NOT GMP_USE_STATIC_LIBS) + set_target_properties(GMP::GMPXX PROPERTIES IMPORTED_IMPLIB ${GMPXX_IMPORT_LIBRARY}) + endif() + endif() +endif() diff --git a/3rdParty/GPMC/core/BoundedQueue.h b/3rdParty/GPMC/core/BoundedQueue.h new file mode 100644 index 00000000..89e901a4 --- /dev/null +++ b/3rdParty/GPMC/core/BoundedQueue.h @@ -0,0 +1,110 @@ +/***********************************************************************************[BoundedQueue.h] + Glucose1 -- Copyright (c) 2009, Gilles Audemard, Laurent Simon + CRIL - Univ. Artois, France + LRI - Univ. Paris Sud, France + +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 BoundedQueue_h +#define BoundedQueue_h + +#include "mtl/Vec.h" + +//================================================================================================= + +namespace Glucose1 { + +template +class bqueue { + vec elems; + int first; + int last; + unsigned long long sumofqueue; + int maxsize; + int queuesize; // Number of current elements (must be < maxsize !) + bool expComputed; + double exp,value; +public: + bqueue(void) : first(0), last(0), sumofqueue(0), maxsize(0), queuesize(0),expComputed(false) { } + + void initSize(int size) {growTo(size);exp = 2.0/(size+1);} // Init size of bounded size queue + + void push(T x) { + expComputed = false; + if (queuesize==maxsize) { + assert(last==first); // The queue is full, next value to enter will replace oldest one + sumofqueue -= elems[last]; + if ((++last) == maxsize) last = 0; + } else + queuesize++; + sumofqueue += x; + elems[first] = x; + if ((++first) == maxsize) {first = 0;last = 0;} + } + + T peek() { assert(queuesize>0); return elems[last]; } + void pop() {sumofqueue-=elems[last]; queuesize--; if ((++last) == maxsize) last = 0;} + + unsigned long long getsum() const {return sumofqueue;} + unsigned int getavg() const {return (unsigned int)(sumofqueue/((unsigned long long)queuesize));} + int maxSize() const {return maxsize;} + double getavgDouble() const { + double tmp = 0; + for(int i=0;i +#include +#include + +using namespace Glucose1; +using namespace std; + +namespace GPMC { + +typedef int ClID; +#define clid_Undef (-1) + +typedef unsigned CacheEntryID; + +template +class Decision { + int trail_pos_; + bool cur_branch_; + + unsigned basecomp_; + unsigned splitcompFrom_; // [From, End) + unsigned splitcompEnd_; + + T_data models_[2]; + bool hasmodel_[2]; + + T_data branch_weight_; + NodeIndex nodes[2]; + +public: + Decision(int trail_pos, unsigned basecomp) : + trail_pos_(trail_pos), cur_branch_(false), basecomp_(basecomp), + splitcompFrom_(basecomp + 1), splitcompEnd_(basecomp + 1), models_{ 0, 0 }, hasmodel_{false, false} { + branch_weight_ = 1; + nodes[0] = nodes[1] = BOTTOM_NODE; + } + + int trailPos() { + return trail_pos_; + } + unsigned baseComp() { + return basecomp_; + } + + // + bool isFirstBranch() { + return !cur_branch_; + } + void changeBranch() { + cur_branch_ = true; + } + + // + unsigned SplitCompsEnd() { + return splitcompEnd_; + } + bool hasUnprocessedSplitComp() { + return splitcompFrom_ < splitcompEnd_; + // If true, the top of comp_stack is an unprocessed split component in this DL. + } + + void setSplitCompsEnd(int end) { + splitcompEnd_ = end; + } + void nextSplitComp() { + splitcompEnd_--; + } + int numUnprocessedSplitComp() { + return splitcompEnd_ - splitcompFrom_; + } + + // Methods on models + const T_data totalModels() const { + return models_[0] + models_[1]; + } + + const bool hasModel() const { + return hasmodel_[false] || hasmodel_[true]; + } + + const T_data currentBranchModels() const { + return models_[cur_branch_]; + } + + bool isUnSAT() { + // return models_[cur_branch_] == 0; + return !hasmodel_[cur_branch_]; + } + + void increaseModels(const T_data &nmodels, bool found = true) { + if(found) { + if(hasmodel_[cur_branch_]) + models_[cur_branch_] *= nmodels; + else + models_[cur_branch_] = nmodels; + } else { + models_[cur_branch_] = 0; + } + hasmodel_[cur_branch_] = found; + } + + void setBranchWeight(const T_data &w) { + branch_weight_ = w; + } + void mulBranchWeight(const T_data &w) { + // cout << w << endl; + branch_weight_ *= w; + } + void mulLitsWeights() { + if(hasmodel_[cur_branch_]) + models_[cur_branch_] *= branch_weight_; + } + + NodeIndex getBranchNodeIdx(int branch) { + return this->nodes[branch]; + } + NodeIndex getNodeIdx() { + return this->nodes[cur_branch_]; + } + void setNodeIdx(NodeIndex node) { + this->nodes[cur_branch_] = node; + } + + vector dec_cands; +}; + +class Component { + CacheEntryID id_ = 0; + int nvars_; // The number of variables in this component + int ncls_; // The number of long clauses (of size > 2) in this component + + bool hasPVar_; // Whether this component has a projection var or not. + + vec data_; // [vars ..] @ [var_Undef] @ [clids ..] @ [clid_Undef] + +public: + Component(int nvars, int ncls, bool hasPVar) : + hasPVar_(hasPVar) { + capacity(nvars, ncls); + } + + void capacity(int nvars, int ncls) { + nvars_ = nvars; + ncls_ = ncls; + data_.capacity(nvars + ncls + 2); + } + + // Store + void pushVar(Var v) { + assert(data_.size() <= nvars_); + data_.push_(v); + } + void closeVar() { + assert(data_.size() == nvars_); + data_.push_(var_Undef); + } + void pushClID(ClID cid) { + assert(data_.size() > nvars_); + data_.push_(cid); + } + void closeClID() { + assert(data_.size() == nvars_ + ncls_ + 1); + data_.push_(clid_Undef); + } + + // Access + int nVars() { + return nvars_; + } + int nlongCls() { + return ncls_; + } + int& operator [](int i) { + assert(data_[nvars_] == var_Undef); + return data_[i]; + } + int operator [](int i) const { + assert(data_[nvars_+ncls_+1] == clid_Undef); + return data_[i]; + } + + bool hasPVar() { + return hasPVar_; + } + int nPVars(int npvars) { + int num = 0; + for(; data_[num] != var_Undef && data_[num] < npvars; num++); + return num; + } + + void set_id(CacheEntryID id) { + id_ = id; + } + CacheEntryID id() { + return id_; + } + +}; + +template +class PackedComponent { +private: + static unsigned _bits_per_clause; + static unsigned _bits_per_variable; + static unsigned _variable_mask; + static unsigned _clause_mask; + static const unsigned _bitsPerBlock = (sizeof(unsigned) << 3); + +public: + static unsigned bits_per_variable() { + return _bits_per_variable; + } + static unsigned bits_per_clause() { + return _bits_per_clause; + } + + static void adjustPackSize(unsigned int maxVarId, unsigned int maxClId); + + // Field + +protected: + unsigned* data_ = nullptr; + unsigned clauses_ofs_ = 0; + unsigned hashkey_ = 0; + + T_data model_count_; + unsigned creation_time_ = 0; + + NodeIndex node_; + +public: + PackedComponent() : node_(UNDEF_NODE){ + } + + inline PackedComponent(Component& rComp); + + PackedComponent(Component & rComp, const T_data &model_count, unsigned long time, NodeIndex node) : + PackedComponent(rComp) { + model_count_ = model_count; + creation_time_ = time; + node_ = node; + } + + ~PackedComponent() { + if (data_) + free(data_); + } + + unsigned data_size() const { + if (!data_) + return 0; + + unsigned *p = data_; + while (*p) + p++; + return (p - data_ + 2); // return (p - data_ + 1); + } + + unsigned creation_time() { + return creation_time_; + } + void set_creation_time(unsigned time) { + creation_time_ = time; + } + + const T_data & model_count() const { + return model_count_; + } + void set_model_count(const T_data &rn) { + model_count_ = rn; + } + + NodeIndex get_DTNode() const { + return node_; + } + void set_DTNode(NodeIndex node) { + node_ = node; + } + + unsigned hashkey() { + return hashkey_; + } + + // NOTE that the following is only an upper bound on + // the number of variables + // it might overcount by a few variables + // this is due to the way things are packed + // and to reduce time needed to compute this value + unsigned num_variables() { + unsigned bits_per_var_diff = (*data_) & 31; + return 1 + + (clauses_ofs_ * sizeof(unsigned) * 8 - bits_per_variable() - 5) + / bits_per_var_diff; + } + // unsigned num_variables() { + // return (clauses_ofs_ * sizeof(unsigned) * 8) /_bits_per_variable; + // } + + inline bool equals(const PackedComponent &comp) const; + +}; + +template +class CachedComponent: public PackedComponent { + + // the position where this + // component is stored in the component stack + // if this is non-zero, we may not simply delete this + // component + unsigned component_stack_id_ = 0; + + // theFather and theDescendants: + // each CCacheEntry is a Node in a tree which represents the relationship + // of the components stored + CacheEntryID father_ = 0; + CacheEntryID first_descendant_ = 0; + CacheEntryID next_sibling_ = 0; + +public: + CachedComponent() { + } + + CachedComponent(Component &comp, const T_data &model_count, unsigned long time, NodeIndex node) : + PackedComponent(comp, model_count, time, node) { + } + + CachedComponent(Component &comp) : + PackedComponent(comp) { + } + + // a cache entry is deletable + // only if it is not connected to an active + // component in the component stack + bool deletable() { + return component_stack_id_ == 0; + } + void eraseComponentStackID() { + component_stack_id_ = 0; + } + void setComponentStackID(unsigned id) { + component_stack_id_ = id; + } + unsigned component_stack_id() { + return component_stack_id_; + } + + void clear() { + // before deleting the contents of this component, + // we should make sure that this component is not present in the component stack anymore! + assert(component_stack_id_ == 0); + if (this->data_) + delete this->data_; + this->data_ = nullptr; + } + unsigned long SizeInBytes() const { + return sizeof(CachedComponent) + + PackedComponent::data_size() * sizeof(unsigned) + + sizeof(T_data); + // ToDo: How to estimate the actual data size of mpz_class + } + + void set_father(CacheEntryID f) { + father_ = f; + } + void set_next_sibling(CacheEntryID sb) { + next_sibling_ = sb; + } + void set_first_descendant(CacheEntryID ds) { + first_descendant_ = ds; + } + + const CacheEntryID father() const { + return father_; + } + CacheEntryID next_sibling() { + return next_sibling_; + } + CacheEntryID first_descendant() { + return first_descendant_; + } +}; + +template class ComponentCache; + +template +class CacheBucket: protected vector { + friend class ComponentCache; + +public: + + using vector::size; + + unsigned long getBytesMemoryUsage() { + return sizeof(CacheBucket) + size() * sizeof(CacheEntryID); + } +}; + +template +class ComponentCache { + vector *> entry_base_; + vector free_entry_base_slots_; + + // the actual hash table + // by means of which the cache is accessed + vector *> table_; + + // SolverConfiguration &config_; + // DataAndStatistics &statistics_; + + unsigned long num_occupied_buckets_ = 0; + unsigned long my_time_ = 0; + +public: + void init(int cachesize); + + void add_descendant(CacheEntryID compid, CacheEntryID descendantid) { + assert(descendantid != entry(compid).first_descendant()); + entry(descendantid).set_next_sibling(entry(compid).first_descendant()); + entry(compid).set_first_descendant(descendantid); + } +#if 0 + void remove_firstdescendantOf(CacheEntryID compid) { + CacheEntryID desc = entry(compid).first_descendant(); + if (desc != 0) + entry(compid).set_first_descendant(entry(desc).next_sibling()); + } +#endif + unsigned long used_memory_MB() { + return recompute_bytes_memory_usage() / 1000000; + } + + // ComponentCache(SolverConfiguration &conf, DataAndStatistics &statistics); + + ~ComponentCache() { + for (auto &pbucket : table_) + if (pbucket != nullptr) + delete pbucket; + for (auto &pentry : entry_base_) + if (pentry != nullptr) + delete pentry; + } + + CachedComponent &entry(CacheEntryID id) { + assert(entry_base_.size() > id); + assert(entry_base_[id] != nullptr); + return *entry_base_[id]; + } + + bool hasEntry(CacheEntryID id) { + assert(entry_base_.size() > id); + return entry_base_[id]; + } + + // creates a CCacheEntry in the entry base + // which contains a packed copy of comp + // returns the id of the entry created + // stores in the entry the position of + // comp which is a part of the component stack + CacheEntryID createEntryFor(Component &comp, unsigned stack_id); + + // unchecked erase of an entry from entry_base_ + void eraseEntry(CacheEntryID id) { + cache_bytes_memory_usage_ -= entry_base_[id]->SizeInBytes(); + sum_size_cached_components_ -= entry_base_[id]->num_variables(); + num_cached_components_--; + delete entry_base_[id]; + entry_base_[id] = nullptr; + free_entry_base_slots_.push_back(id); + } + + // store the number in model_count as the model count of CacheEntryID id + inline void storeValueOf(CacheEntryID id, const T_data &model_count, NodeIndex node=UNDEF_NODE); + + // check if the cache contains the modelcount of comp + // if so, return true and out_model_count contains that model count + bool requestValueOf(Component &comp, T_data &out_model_count, NodeIndex &node); + + bool deleteEntries(); + void deleteallentries(); + + // test function to ensure consistency of the descendant tree + // inline void test_descendantstree_consistency(); + + // --- Added by k-hasimt --- BEGIN + inline void cleanAllDescendantsOf(CacheEntryID id); + + void printStats() const { + printf("c o Cache lookup = %"PRIu64"\n", num_cache_look_ups_); + printf("c o Cache hit = %"PRIu64"\n", num_cache_hits_); + printf("c o Cache reduce = %"PRIu64"\n", num_cache_reduce_); + } + // --- Added by k-hasimt --- END + +private: + uint64_t num_cache_hits_ = 0; + uint64_t num_cache_look_ups_ = 0; + uint64_t num_cache_reduce_ = 0; + uint64_t sum_cache_hit_sizes_ = 0; + uint64_t num_cached_components_ = 0; + uint64_t sum_size_cached_components_ = 0; + // uint64_t sum_memory_size_cached_components_ = 0; + uint64_t cache_bytes_memory_usage_ = 0; + uint64_t maximum_cache_size_bytes; + + // compute the size in bytes of the component cache from scratch + // the value is stored in bytes_memory_usage_ + uint64_t recompute_bytes_memory_usage(); + + // removes the entry id from the hash table + // but not from the entry base + inline void removeFromHashTable(CacheEntryID id); + + // we delete the Component with ID id + // and all its descendants from the cache + inline void cleanPollutionsInvolving(CacheEntryID id); + + // delete entries, keeping the descendants tree consistent + inline void removeFromDescendantsTree(CacheEntryID id); + + unsigned int clip(long unsigned int ofs) { + return ofs % table_.size(); + } + + CacheBucket &at(unsigned int ofs) { + if (table_[ofs] == NULL) { + num_occupied_buckets_++; + table_[ofs] = new CacheBucket(); + } + return *table_[ofs]; + } + + bool isBucketAt(unsigned int ofs) { + return table_[ofs] != NULL; + } +}; + +template +class ComponentManager { + enum scStateT { + SC_NOT_CANDIDATE, SC_CANDIDATE, SC_SEEN, SC_DONE + }; + + // + ClauseAllocator ca_; + vec clauses_; + vec occlists_; + vec occ_pool_; + + vec varseen_; + vec clseen_; + + vec var_frequency_; + + // double cur_max_frequency_; + + int npvars_; + uint64_t components; + uint64_t num_try_split; + + vector> dl_; + vector comp_stack_; + + ComponentCache cache_; + DTNodeManager nodeMgr; + + ConfigComponentManager config; + + int fixed_level_; + +public: + ComponentManager() : + npvars_(0), components(0), num_try_split(0), fixed_level_(0) { + } + + ~ComponentManager() + { + while(comp_stack_.size() > 0){ + delete comp_stack_.back(); + comp_stack_.pop_back(); + } + } + + void setConfig(ConfigComponentManager cfg) { this->config = cfg; } + void init(int nvars, int npvars, const vec& sclauses, const ClauseAllocator& sca); + + int splitComponent(const vec& assigns, const vec& lit_weight = {}); + + Var pickBranchVar(const vec& activity, const vec& exscore); + + // Decision Stack + Decision& topDecision() { + return dl_.back(); + } + Decision& prevDecision() { + return *(dl_.end() - 2); + } + void pushDecision(int trailp) { + dl_.push_back(Decision(trailp, comp_stack_.size() - 1)); + } + void popDecision() { + dl_.pop_back(); + } + + void setDecCand() { + vector& dec_cands = dl_.back().dec_cands; + dec_cands.resize(npvars_+1); + dec_cands[npvars_]++; + + Component& c = topComponent(); + int p; + for(p=0; isPVar(c[p]) && c[p] != var_Undef; p++) { + dec_cands[c[p]] = dec_cands[npvars_]; + } + } + bool isDecCand(Var x) { + return dl_.back().dec_cands[x] == dl_.back().dec_cands[npvars_]; + } + + // Component Stack + Component& topComponent() { + return *(comp_stack_.back()); + } + void popComponent() { + //assert(dl_.back().hasUnprocessedSplitComp()); + + delete comp_stack_.back(); + comp_stack_.pop_back(); + dl_.back().nextSplitComp(); + } + + ComponentCache &cache() { + return cache_; + } + + void cacheModelCountOf(unsigned stack_comp_id, const T_data &value, NodeIndex node) { + //if (config_.perform_component_caching && (config_.perform_component_caching_in_sat || !isNotCounting())) + cache_.storeValueOf(stack_comp_id, value, node); + } + void removeCachePollutions(); + void eraseComponentStackID() { + if (cache_.hasEntry(comp_stack_.back()->id())) + cache_.entry(comp_stack_.back()->id()).eraseComponentStackID(); + } + + void backjumpTo(int level) { + while (dl_.size() > (unsigned) level + 1) { + if(config.ddnnf) + for(auto i : {0,1}) + nodeMgr.deleteNodes(dl_.back().getBranchNodeIdx(i)); + popDecision(); + } + while (comp_stack_.size() > dl_.back().baseComp() + 1) + popComponent(); + dl_.back().setSplitCompsEnd(comp_stack_.size()); + } + + // Debug + void printDimacs(const vec& clauses, const ClauseAllocator& ca, const vec& assign); + + void printStats() const { + printf("c o Components = %"PRIu64"\n", components); + printf("c o Split = %"PRIu64"\n", num_try_split); + cache_.printStats(); + } + + int searchNewLimLevel() { + int level = dl_.size() - 1; + while (level > 0 && dl_[level].totalModels() == 0 && dl_[level].numUnprocessedSplitComp()==1) + //while (level > 0 && dl_[level].totalModels() == 0) + level--; + return level + 1; + } + + void printScore(Var v, double activity) { + printf("c o activity:%lf, var_freq:%lf\n", activity, var_frequency_[v]); + } + + bool checkfixedDL() { + if(fixed_level_+1 == dl_.size()) { + if(!dl_.back().isFirstBranch() && dl_.back().numUnprocessedSplitComp()==1) { + fixed_level_++; + return true; + } + } + return false; + } + + void setRoot(NodeIndex node) { nodeMgr.setRoot(node); } + void setDecisionNode(Lit l); + void addNode(NodeIndex node) { addNode(node, dl_.back().getNodeIdx()); } + void addNode(NodeIndex node, NodeIndex to); + void addLitNode(Lit l) { addNode(nodeMgr.Literal(l)); } + NodeIndex makeBranchNode(Var x); + void removeChildComponentNodes(); + DTNodeManager& NodeManager() { return nodeMgr; } + const DTNodeManager& NodeManagerConst() const { return nodeMgr; } + +protected: + bool isPVar(Var v) { + return v < npvars_; + } + + double scoreOf(Var v, double activity) { + return var_frequency_[v]; + } + + lbool value(Var x, const vec& assigns) const { + return assigns[x]; + } // The current value of a variable. + + lbool value(Lit p, const vec& assigns) const { + return assigns[var(p)] ^ sign(p); + } // The current value of a literal. + + void initComponentStack(int nvars, int ncls); + void initDecisionStack(); + + void searchComponent(Var seed_var, const vec& assigns, + int& nvar_in_comp, int& ncls_in_comp); +}; + +template +bool PackedComponent::equals(const PackedComponent &comp) const { + if (clauses_ofs_ != comp.clauses_ofs_) + return false; + + unsigned* p = data_; + unsigned* r = comp.data_; + while ((*p || *(p + 1)) && *p == *r) { // modified by k-hasimt. One more 0 is added in the end of a packed component. + p++; + r++; + } + return *p == *r && *(p + 1) == *(r + 1); +} + +template +PackedComponent::PackedComponent(Component &rComp) { + int max_diff = 0; + Var v1, v2; + ClID c1, c2; + int i; + + // Calculate the length of bits (*1) to represent difference of ids of adjacent vars + v2 = rComp[0]; + for (i = 1; (v1 = rComp[i]) != var_Undef; i++) { + int diff = v1 - v2; + if (diff > max_diff) + max_diff = diff; + v2 = v1; + } + unsigned bits_per_var_diff = (unsigned int) ceil(log((double) max_diff + 1) / log(2.0)); + if (bits_per_var_diff == 0) + bits_per_var_diff = 1; + assert(bits_per_var_diff != 0); + assert((bits_per_var_diff & 31) != 0); + assert(bits_per_var_diff <= _bits_per_variable); + + // Calculate the length of bits (*2) to represent difference of ids of adjacent clauses + max_diff = 1; + unsigned bits_per_clause_diff = 0; + if (rComp.nlongCls()) { + i = rComp.nVars() + 1; + c2 = rComp[i]; + for (i++; (c1 = rComp[i]) != clid_Undef; i++) { + int diff = c1 - c2; + if (diff > max_diff) + max_diff = diff; + c2 = c1; + } + bits_per_clause_diff = (unsigned int) ceil(log((double) max_diff + 1) / log(2.0)); + } + assert(bits_per_clause_diff <= _bits_per_clause); + + // data_ : a bit sequence, packed in unsigned(32bit) containers, + // [length (*1) (5bits)][First var id][diffseq...][0][length (*2)][1st clauseID][diffseq...][0][0] (rough sketch of content) + unsigned data_size = (_bits_per_variable + 5 + _bits_per_clause + 5 + + (rComp.nVars() - 1) * bits_per_var_diff + + (rComp.nlongCls() - 1) * bits_per_clause_diff) / _bitsPerBlock + + 4; + + unsigned * p = data_ = (unsigned*) malloc(sizeof(unsigned) * data_size); + if(p == NULL) + throw OutOfMemoryException(); + + unsigned int bitpos; + + *p = bits_per_var_diff; + bitpos = 5; + *p |= rComp[0] << bitpos; + bitpos += _bits_per_variable; + + unsigned hashkey_vars = rComp[0]; + + v2 = rComp[0]; + for (i = 1; (v1 = rComp[i]) != var_Undef; i++) { + *p |= ((unsigned) (v1 - v2)) << bitpos; + bitpos += bits_per_var_diff; + hashkey_vars = hashkey_vars * 3 + (v1 - v2); + if (bitpos >= _bitsPerBlock) { + bitpos -= _bitsPerBlock; + *(++p) = ((v1 - v2) >> (bits_per_var_diff - bitpos)); + } + v2 = v1; + } + if (bitpos > 0) + p++; + + clauses_ofs_ = p - data_; // starting the clause part + + unsigned hashkey_clauses = 0; + if (rComp.nlongCls()) { + *p = bits_per_clause_diff; + bitpos = 5; + + *p |= rComp[rComp.nVars() + 1] << bitpos; + bitpos += _bits_per_clause; + + i = rComp.nVars() + 1; + c2 = rComp[i]; + for (i++; (c1 = rComp[i]) != clid_Undef; i++) { + *p |= ((unsigned) (c1 - c2)) << (bitpos); + bitpos += bits_per_clause_diff; + hashkey_clauses = hashkey_clauses * 3 + (c1 - c2); + if (bitpos >= _bitsPerBlock) { + bitpos -= _bitsPerBlock; + *(++p) = ((c1 - c2) >> (bits_per_clause_diff - bitpos)); + } + c2 = c1; + } + if (bitpos > 0) + p++; + } + *p = 0; + *(p + 1) = 0; // added by k-hasimt + hashkey_ = hashkey_vars + (((unsigned long) hashkey_clauses) << 16); + + node_ = UNDEF_NODE; +} + +template +void ComponentCache::cleanPollutionsInvolving(CacheEntryID id) { + CacheEntryID father = entry(id).father(); + if (entry(father).first_descendant() == id) { + entry(father).set_first_descendant(entry(id).next_sibling()); + } else { + CacheEntryID act_sibl = entry(father).first_descendant(); + while (act_sibl) { + CacheEntryID next_sibl = entry(act_sibl).next_sibling(); + if (next_sibl == id) { + entry(act_sibl).set_next_sibling( + entry(next_sibl).next_sibling()); + break; + } + act_sibl = next_sibl; + } + } + CacheEntryID next_child = entry(id).first_descendant(); + entry(id).set_first_descendant(0); + while (next_child) { + CacheEntryID act_child = next_child; + next_child = entry(act_child).next_sibling(); + cleanPollutionsInvolving(act_child); + } + removeFromHashTable(id); + eraseEntry(id); +} + +template +void ComponentCache::removeFromHashTable(CacheEntryID id) { + unsigned int v = clip(entry(id).hashkey()); + if (isBucketAt(v)) + for (auto it = table_[v]->begin(); it != table_[v]->end(); it++) { + if (*it == id) { + *it = table_[v]->back(); + table_[v]->pop_back(); + break; + } + } +} + +template +void ComponentCache::removeFromDescendantsTree(CacheEntryID id) { + assert(hasEntry(id)); + // we need a father for this all to work + assert(entry(id).father()); + assert(hasEntry(entry(id).father())); + + + CacheEntryID father = entry(id).father(); + if (entry(father).first_descendant() == id) { + entry(father).set_first_descendant(entry(id).next_sibling()); + } else { + CacheEntryID act_sibl = entry(father).first_descendant(); + while (act_sibl) { + CacheEntryID next_sibl = entry(act_sibl).next_sibling(); + if (next_sibl == id) { + entry(act_sibl).set_next_sibling( + entry(next_sibl).next_sibling()); + break; + } + act_sibl = next_sibl; + } + } + + CacheEntryID act_child = entry(id).first_descendant(); + while (act_child) { + CacheEntryID next_child = entry(act_child).next_sibling(); + entry(act_child).set_father(father); + entry(act_child).set_next_sibling(entry(father).first_descendant()); + entry(father).set_first_descendant(act_child); + act_child = next_child; + } +} + +template +void ComponentCache::storeValueOf(CacheEntryID id, const T_data &model_count, NodeIndex node) { + CacheBucket &bucket = at(clip(entry(id).hashkey())); + // when storing the new model count the size of the model count + // and hence that of the component will change + cache_bytes_memory_usage_ -= entry(id).SizeInBytes(); + + entry(id).set_model_count(model_count); + entry(id).set_creation_time(my_time_); + entry(id).set_DTNode(node); + bucket.push_back(id); + cache_bytes_memory_usage_ += entry(id).SizeInBytes(); +} + +// --- Added by k-hasimt --- BEGIN +template +void ComponentCache::cleanAllDescendantsOf(CacheEntryID id) { + CacheEntryID next_child = entry(id).first_descendant(); + while (next_child) { + CacheEntryID act_child = next_child; + next_child = entry(act_child).next_sibling(); + cleanPollutionsInvolving(act_child); + } +} +// --- Added by k-hasimt --- END + +} + +#endif /* COMPONENT_H_ */ diff --git a/3rdParty/GPMC/core/ComponentCache.cc b/3rdParty/GPMC/core/ComponentCache.cc new file mode 100644 index 00000000..cd2c5c30 --- /dev/null +++ b/3rdParty/GPMC/core/ComponentCache.cc @@ -0,0 +1,267 @@ +#include +#include +#include "core/Component.h" + +// #define USE_SYSINFO + +#ifdef USE_SYSINFO +#include +#endif + +using namespace GPMC; +using namespace std; + +template +unsigned PackedComponent::_bits_per_clause = 0; +template +unsigned PackedComponent::_bits_per_variable = 0; +template +unsigned PackedComponent::_variable_mask = 0; +template +unsigned PackedComponent::_clause_mask = 0; + +#if 0 +int availableRAMSize(){ +#ifdef USE_SYSINFO + struct sysinfo info; + sysinfo(&info); + + uint64_t free_ram_bytes = info.freeram *(uint64_t) info.mem_unit; + int free_ram = free_ram_bytes / 1048576; + + int maximum_cache_size = (int) opt_cachesize; + + if (opt_cachesize <= 0 || free_ram <= 0) { + printf("c o Not enough memory to run.\n"); + exit(1); + } + + if (opt_cachesize > free_ram) { + maximum_cache_size = 7 * free_ram / 10; +#ifdef DEBUG + printf("c o WARNING: Maximum cache size larger than free RAM available\n"); + printf("c o Free RAM %d MB\n", free_ram); + printf("c o Maximum cache size : %d MB -> %d MB\n", (int) opt_cachesize, maximum_cache_size); +#endif + } + return maximum_cache_size; + +#else + return default_cachesize; +#endif +} +#endif + +template +void ComponentCache::init(int cachesize) { + table_.clear(); + entry_base_.clear(); + entry_base_.reserve(2000000); + entry_base_.push_back(new CachedComponent()); // dummy Element + table_.resize(900001, NULL); + free_entry_base_slots_.clear(); + free_entry_base_slots_.reserve(10000); + + // maximum_cache_size_bytes = (int64_t) availableRAMSize() * 1048576; + maximum_cache_size_bytes = (int64_t) cachesize * 1048576; + + recompute_bytes_memory_usage(); +} + +template +CacheEntryID ComponentCache::createEntryFor(Component &comp, unsigned stack_id) { + my_time_++; + CacheEntryID id; + + if (cache_bytes_memory_usage_ >= maximum_cache_size_bytes) { + deleteEntries(); + num_cache_reduce_++; + } + + assert(cache_bytes_memory_usage_ < maximum_cache_size_bytes); + if (free_entry_base_slots_.empty()) { + if (entry_base_.capacity() == entry_base_.size()) { + entry_base_.reserve(2 * entry_base_.size()); + } + entry_base_.push_back(new CachedComponent(comp)); + id = entry_base_.size() - 1; + } else { + id = free_entry_base_slots_.back(); + assert(id < entry_base_.size()); + assert(entry_base_[id] == nullptr); + free_entry_base_slots_.pop_back(); + entry_base_[id] = new CachedComponent(comp); + } + entry_base_[id]->setComponentStackID(stack_id); + entry_base_[id]->set_creation_time(my_time_); + + assert(entry_base_[id]->first_descendant() == 0); + assert(entry_base_[id]->next_sibling() == 0); + cache_bytes_memory_usage_ += entry_base_[id]->SizeInBytes(); + sum_size_cached_components_ += entry_base_[id]->num_variables(); + num_cached_components_++; + + return id; +} + +#if 0 +void ComponentCache::test_descendantstree_consistency() { + for (unsigned id = 2; id < entry_base_.size(); id++) + if (entry_base_[id] != nullptr) { + CacheEntryID act_child = entry(id).first_descendant(); + while (act_child) { + CacheEntryID next_child = entry(act_child).next_sibling(); + assert(entry(act_child).father() == id); + + act_child = next_child; + } + CacheEntryID father = entry(id).father(); + CacheEntryID act_sib = entry(father).first_descendant(); +#ifndef NDEBUG + bool found = false; +#endif + while (act_sib) { + CacheEntryID next_sib = entry(act_sib).next_sibling(); +#ifndef NDEBUG + if (act_sib == id) + found = true; +#endif + act_sib = next_sib; + } + assert(found); + } +} +#endif + +template +uint64_t ComponentCache::recompute_bytes_memory_usage() { + cache_bytes_memory_usage_ = sizeof(ComponentCache) + sizeof(CacheBucket *) * table_.capacity(); + for (auto pbucket : table_) + if (pbucket != nullptr) + cache_bytes_memory_usage_ += pbucket->getBytesMemoryUsage(); + for (auto pentry : entry_base_) + if (pentry != nullptr) + cache_bytes_memory_usage_ += pentry->SizeInBytes(); + + return cache_bytes_memory_usage_; +} + +template +bool ComponentCache::requestValueOf(Component &comp, T_data &rn, NodeIndex &node) { + CachedComponent &packedcomp = entry(comp.id()); + + unsigned int v = clip(packedcomp.hashkey()); + if (!isBucketAt(v)) + return false; + + CachedComponent *pcomp; + num_cache_look_ups_++; + + for (auto it = table_[v]->begin(); it != table_[v]->end(); it++) { + pcomp = &entry(*it); + if (packedcomp.hashkey() == pcomp->hashkey() + && pcomp->equals(packedcomp)) { + num_cache_hits_++; + + sum_cache_hit_sizes_ += pcomp->num_variables(); + rn = pcomp->model_count(); + node = pcomp->get_DTNode(); + // pcomp->set_creation_time(my_time_); + return true; + } + } + return false; +} + +template +bool ComponentCache::deleteEntries() { + assert(cache_bytes_memory_usage_ >= maximum_cache_size_bytes); + + vector scores; + for (auto it = entry_base_.begin() + 1; it != entry_base_.end(); it++) + if (*it != nullptr && (*it)->deletable()) { + scores.push_back((double) (*it)->creation_time()); + } + sort(scores.begin(), scores.end()); + double cutoff = scores[scores.size() / 2]; + + //cout << "cutoff" << cutoff << " entries: "<< entry_base_.size()<< endl; + + // first : go through the EntryBase and mark the entries to be deleted as deleted (i.e. EMPTY + // note we start at index 2, + // since index 1 is the whole formula, + // should always stay here! + for (unsigned id = 2; id < entry_base_.size(); id++) + if (entry_base_[id] != nullptr && entry_base_[id]->deletable()) { + double as = (double) entry_base_[id]->creation_time(); + if (as <= cutoff) { + removeFromDescendantsTree(id); + eraseEntry(id); + } + } + // then go through the Hash Table and erase all Links to empty entries + for (auto pbucket : table_) + if (pbucket != nullptr) { + for (auto bt = pbucket->rbegin(); bt != pbucket->rend(); bt++) { + if (entry_base_[*bt] == nullptr) { + *bt = pbucket->back(); + pbucket->pop_back(); + } + } + } +#if 0 + test_descendantstree_consistency(); +#endif + + sum_size_cached_components_ = 0; + for (unsigned id = 2; id < entry_base_.size(); id++) + if (entry_base_[id] != nullptr) { + sum_size_cached_components_ += entry_base_[id]->num_variables(); + } + + num_cached_components_ = entry_base_.size(); + cache_bytes_memory_usage_ = recompute_bytes_memory_usage(); +#ifdef DEBUG + cout << "c o Cache reduced to size " << recompute_bytes_memory_usage() / 1000000 << "MB" << endl; + //cout << " \t entries: "<< entry_base_.size() - free_entry_base_slots_.size()<< endl; +#endif + return true; +} + +template +void ComponentCache::deleteallentries(){ + for (unsigned id = 2; id < entry_base_.size(); id++) + if (entry_base_[id] != nullptr) { + removeFromDescendantsTree(id); + eraseEntry(id); + } + + for (auto pbucket : table_) + if (pbucket != nullptr) { + for (auto bt = pbucket->rbegin(); bt != pbucket->rend(); bt++) { + if (entry_base_[*bt] == nullptr) { + *bt = pbucket->back(); + pbucket->pop_back(); + } + } + } + + sum_size_cached_components_ = 0; + num_cached_components_ = entry_base_.size(); + cache_bytes_memory_usage_ = recompute_bytes_memory_usage(); +} + +template +void PackedComponent::adjustPackSize(unsigned int maxVarId, unsigned int maxClId) { + _bits_per_variable = (unsigned int) ceil(log((double) maxVarId + 1) / log(2.0)); + _bits_per_clause = (unsigned int) ceil(log((double) maxClId + 1) / log(2.0)); + + _variable_mask = _clause_mask = 0; + for (unsigned int i = 0; i < _bits_per_variable; i++) + _variable_mask = (_variable_mask << 1) + 1; + for (unsigned int i = 0; i < _bits_per_clause; i++) + _clause_mask = (_clause_mask << 1) + 1; +} + +template class GPMC::PackedComponent; +template class GPMC::ComponentCache; diff --git a/3rdParty/GPMC/core/ComponentManager.cc b/3rdParty/GPMC/core/ComponentManager.cc new file mode 100644 index 00000000..b781c2d7 --- /dev/null +++ b/3rdParty/GPMC/core/ComponentManager.cc @@ -0,0 +1,389 @@ +#include "core/Component.h" +#include "mtl/Sort.h" +#include + +using namespace GPMC; + +#define CACHE + +template +void ComponentManager::init(int nvars, int npvars, const vec& sclauses, const ClauseAllocator& sca){ + vec< vec > binlinks(nvars); + vec< vec > occ(nvars); + + occlists_.growTo(nvars); + var_frequency_.growTo(nvars); + + for(int i = 0; i < sclauses.size(); i++) { + Clause& sc = (Clause &)sca[sclauses[i]]; + if(sc.size() == 2) { + binlinks[var(sc[0])].push(var(sc[1])); + binlinks[var(sc[1])].push(var(sc[0])); + var_frequency_[var(sc[0])]++; + var_frequency_[var(sc[1])]++; + } + else { // sc.size() > 2 (because bcp was already done and satisfied clauses were removed) + clauses_.push(ca_.alloc(sc)); + for(int j = 0; j < sc.size(); j++){ + occ[var(sc[j])].push(clauses_.size()-1); + var_frequency_[var(sc[j])]++; + } + } + } + + occ_pool_.clear(); + for(Var v = 0; v < nvars; v++) { + occlists_[v] = occ_pool_.size(); + + vec& bl = binlinks[v]; + sort(bl); + Var prev = var_Undef; + for(int i = 0; i < bl.size(); i++) + if(bl[i] != prev) { + occ_pool_.push(bl[i]); + prev = bl[i]; + } + occ_pool_.push(var_Undef); + + vec& ocl = occ[v]; + for(int i = 0; i < ocl.size(); i++) + occ_pool_.push(ocl[i]); + occ_pool_.push(clid_Undef); + } + + varseen_.growTo(nvars, SC_CANDIDATE); + clseen_.growTo(clauses_.size(), SC_CANDIDATE); + npvars_ = npvars; + +#ifdef CACHE + cache_.init(config.cachesize); + CachedComponent::adjustPackSize(nvars, clauses_.size()); +#endif + + nodeMgr.init(npvars_); + + initComponentStack(nvars, clauses_.size()); + initDecisionStack(); + + components = 1; + num_try_split = 0; +} + +template +void ComponentManager::initComponentStack(int nvars, int nlongcls) { + comp_stack_.clear(); + comp_stack_.reserve(nvars + 1); + comp_stack_.push_back(new Component(nvars, nlongcls, true)); + + Component & orig = *(comp_stack_[0]); + for(Var v = 0; v < nvars; v++) orig.pushVar(v); + orig.closeVar(); + for(ClID c = 0; c < nlongcls; c++) orig.pushClID(c); + orig.closeClID(); + +#ifdef CACHE + CacheEntryID id = cache_.createEntryFor(*comp_stack_.back(), comp_stack_.size() - 1); + comp_stack_.back()->set_id(id); +#endif +} + +template +void ComponentManager::initDecisionStack() +{ + dl_.clear(); + dl_.push_back(Decision(0,0)); + dl_.back().changeBranch(); + dl_.back().setNodeIdx(nodeMgr.newNode(DT_AND)); +} + +template +int ComponentManager::splitComponent(const vec& assigns, const vec& lit_weight){ + int p; Var v; ClID c; + T_data tmp_model_count; + NodeIndex cachedNode = UNDEF_NODE; + + unsigned oldtop = comp_stack_.size(); + unsigned boundary = oldtop; + Component & targetcomp = *(comp_stack_.back()); + + for(p = 0; (v = targetcomp[p]) != var_Undef; p++) + if(value(v, assigns) == l_Undef){ + varseen_[v] = SC_CANDIDATE; + var_frequency_[v] = 0; + } + else varseen_[v] = SC_NOT_CANDIDATE; + + for(++p; (c = targetcomp[p]) != clid_Undef; p++) + clseen_[c] = SC_CANDIDATE; + + + // Start splitting + int nvars_in_comp, ncls_in_comp; + for (p = 0; (v = targetcomp[p]) != var_Undef; p++) { + if (varseen_[v] == SC_CANDIDATE) { + searchComponent(v, assigns, nvars_in_comp, ncls_in_comp); + if (nvars_in_comp == 1) { + if(isPVar(v)){ + if(config.weighted) + dl_.back().increaseModels(lit_weight[toInt(mkLit(v, true))]+lit_weight[toInt(mkLit(v, false))], true); + else + dl_.back().increaseModels((T_data)2, true); + + if(config.ddnnf) addNode(nodeMgr.getDCNode(v)); + } + else + dl_.back().increaseModels((T_data)1, true); + varseen_[v] = SC_DONE; + }else{ + comp_stack_.push_back(new Component(nvars_in_comp, ncls_in_comp, isPVar(v))); + + Component & newcomp = *(comp_stack_.back()); + + int pp; Var vv; ClID cc; + for (pp = 0; (vv = targetcomp[pp]) != var_Undef; pp++) + if (varseen_[vv] == SC_SEEN) { + newcomp.pushVar(vv); + varseen_[vv] = SC_DONE; + } + newcomp.closeVar(); + for (++pp; (cc = targetcomp[pp]) != clid_Undef; pp++) + if (clseen_[cc] == SC_SEEN) { + newcomp.pushClID(cc); + clseen_[cc] = SC_DONE; + } + newcomp.closeClID(); +#ifndef CACHE + if(isPVar(v)) boundary++; +#endif +#ifdef CACHE + // caching + CacheEntryID id = cache_.createEntryFor(*comp_stack_.back(), comp_stack_.size() - 1); + if (id != 0) { + comp_stack_.back()->set_id(id); + assert(cache_.hasEntry(id)); + assert(cache_.hasEntry(targetcomp.id())); + if (cache_.requestValueOf(*comp_stack_.back(), tmp_model_count, cachedNode)) { + dl_.back().increaseModels(tmp_model_count, true); + if(config.ddnnf && cachedNode != TOP_NODE) { + addNode(cachedNode); + } + cache_.eraseEntry(id); + delete comp_stack_.back(); + comp_stack_.pop_back(); + } else { + cache_.entry(id).set_father(targetcomp.id()); + cache_.add_descendant(targetcomp.id(), id); + if(isPVar(v)) boundary++; + } + } +#endif + } + } + } + + Decision& curdl = dl_.back(); + curdl.setSplitCompsEnd(comp_stack_.size()); + + for (auto i = oldtop; i < boundary; i++) + for (auto j = i + 1; j < boundary; j++) + if (comp_stack_[i]->nVars()< comp_stack_[j]->nVars()) + std::swap(comp_stack_[i], comp_stack_[j]); + + components += comp_stack_.size() - oldtop; + if(comp_stack_.size() != oldtop) num_try_split++; + return comp_stack_.size() - oldtop; +} + +template +void ComponentManager::searchComponent(Var seed_var, const vec& assigns, int& nvars_in_comp, int& ncls_in_comp){ + vec vars_in_comp; + + ncls_in_comp = 0; + vars_in_comp.push(seed_var); + varseen_[seed_var] = SC_SEEN; + + int p; Var v1, v2; ClID c; + for(p = 0; p < vars_in_comp.size(); p++){ + v1 = vars_in_comp[p]; + + uint32_t q; + for(q = occlists_[v1]; (v2 = occ_pool_[q]) != var_Undef; q++){ + if(varseen_[v2] == SC_CANDIDATE) { + assert(value(v2,assigns)==l_Undef); + vars_in_comp.push(v2); + varseen_[v2] = SC_SEEN; + var_frequency_[v1]++; + var_frequency_[v2]++; + } + } + + int nlits; + for(++q; (c = occ_pool_[q]) != clid_Undef; q++) { + if(clseen_[c] == SC_CANDIDATE) { + Clause& cl = ca_[clauses_[c]]; + int before = vars_in_comp.size(); + nlits = 0; + for(int i = 0; i < cl.size(); i++) { + if(value(cl[i],assigns) == l_False) continue; + else if(value(cl[i],assigns) == l_True){ + while(before < vars_in_comp.size()){ + varseen_[vars_in_comp.last()] = SC_CANDIDATE; + vars_in_comp.pop(); + } + clseen_[c] = SC_NOT_CANDIDATE; + for(int j = 0; j < i; j++) { + if(var_frequency_[var(cl[j])] > 0) + var_frequency_[var(cl[j])]--; + } + goto NEXT; + } + else { + v2 = var(cl[i]); + assert(value(v2,assigns)==l_Undef); + nlits++; + var_frequency_[v2]++; + if(varseen_[v2] == SC_CANDIDATE){ + varseen_[v2] = SC_SEEN; + vars_in_comp.push(v2); + } + } + } + clseen_[c] = SC_SEEN; + ncls_in_comp++; + } + NEXT:; + } + } + + nvars_in_comp = vars_in_comp.size(); + +} + +template +Var ComponentManager::pickBranchVar(const vec& activity, const vec& exscore) +{ + // GPMC uses the lexicographical order of var_frequency and activity for choosing a decision var. + // ToDo: try other heuristics + + Component& c = topComponent(); + assert(dl_.back().SplitCompsEnd() == comp_stack_.size()); + + assert(c.nVars() > 0); + Var maxv = var_Undef; + double max_score_a = -1; + double max_score_f = -1; + + if(config.varSelectionHueristics == 0) { + int p; + for(p=0; isPVar(c[p]) && c[p] != var_Undef; p++) { + double score_f = var_frequency_[c[p]] + exscore[c[p]]; + double score_a = activity[c[p]]; + if( score_f > max_score_f) { + max_score_f = score_f; + max_score_a = score_a; + maxv = c[p]; + // } else if ( score_f == max_score_f && score_a > max_score_a) { + } else if ( score_f >= max_score_f * 0.90 && score_a > max_score_a * 1.5) { + max_score_a = score_a; + maxv = c[p]; + } + } + } else { + double max_score_td = -1; + int p; + for(p=0; isPVar(c[p]) && c[p] != var_Undef; p++) { + double score_td = exscore[c[p]]; + double score_f = var_frequency_[c[p]]; + double score_a = activity[c[p]]; + + if(score_td > max_score_td) { + max_score_td = score_td; + max_score_f = score_f; + max_score_a = score_a; + maxv = c[p]; + } + else if( score_td == max_score_td) { + if(score_f > max_score_f) { + max_score_f = score_f; + max_score_a = score_a; + maxv = c[p]; + } else if (score_f == max_score_f && score_a > max_score_a) { + max_score_a = score_a; + maxv = c[p]; + } + } + } + } + assert(maxv != var_Undef); + return maxv; +} + +template +void ComponentManager::removeCachePollutions() { + assert(topDecision().baseComp() == comp_stack_.size()-1); + cache_.cleanAllDescendantsOf(comp_stack_.back()->id()); + // cache_.cleanPollutionsInvolving(comp_stack_.back()->id()); +} + +template +void ComponentManager::setDecisionNode(Lit l) +{ + NodeIndex n = nodeMgr.newNode(DT_AND); + nodeMgr.addEdge(n, nodeMgr.Literal(l)); + dl_.back().setNodeIdx(n); +} +template +void ComponentManager::addNode(NodeIndex x, NodeIndex to) +{ + assert(x != nullptr && !nodeMgr.isTop(x)); + + NodeIndex n = to; + + if(x == BOTTOM_NODE) { + nodeMgr.deleteNodes(n); + dl_.back().setNodeIdx(BOTTOM_NODE); + } + else { + nodeMgr.addEdge(n, x); + } +} +template +NodeIndex ComponentManager::makeBranchNode(Var x) +{ + NodeIndex nodes[2]; + for(auto branch : {0, 1}) { + NodeIndex n = nodes[branch] = dl_.back().getBranchNodeIdx(branch); + + if(n != BOTTOM_NODE) { + DTNode& v = nodeMgr.Node(n); + assert(v.Type() == DT_AND); + if(v.Children().size() == 1) { + // remove a trivial AND Node + nodes[branch] = v.Children()[0]; + nodeMgr.delEdge(n, v.Children()[0]); + nodeMgr.removeNode(n); + } + } + } + + return nodeMgr.OR(x, nodes[0], nodes[1]); +} +template +void ComponentManager::removeChildComponentNodes() +{ + NodeIndex node = dl_.back().getNodeIdx(); + vector& children = nodeMgr.Node(node).Children(); + for(int i=children.size()-1; i>=0; i--) { + DT_NodeType t = nodeMgr.Node(children[i]).Type(); + if(t == DT_AND || t == DT_OR || t == DT_DC) { + std::swap(children[i], children.back()); + nodeMgr.delEdge(node, children.back()); + if(nodeMgr.Node(children.back()).Parents().size() == 0) { + nodeMgr.deleteNodes(children.back()); + children.pop_back(); + } + } + } +} + +template class GPMC::ComponentManager; diff --git a/3rdParty/GPMC/core/Config.cc b/3rdParty/GPMC/core/Config.cc new file mode 100644 index 00000000..1de6570a --- /dev/null +++ b/3rdParty/GPMC/core/Config.cc @@ -0,0 +1,106 @@ +#include "core/Config.h" + +using namespace GPMC; + +//================================================================================================= +// Options: + +static const char* omain = "GPMC -- MAIN"; +static IntOption opt_mode (omain, "mode", "Counting mode (0=mc, 1=wmc, 2=pmc, 3=wpmc).", 0, IntRange(0, 3)); +static IntOption opt_precision (omain, "prec", "Precision of output of weighted model counting", 15, IntRange(15,INT32_MAX)); +static IntOption opt_vs (omain, "vs", "Variable Selection Heuristics", 1, IntRange(0,1)); +static IntOption opt_cachesize (omain, "cs", "Maximum component cache size (MB) (not strict)", 4000, IntRange(1, INT32_MAX)); +static BoolOption opt_bj (omain, "bj", "Backjumping", true); +static DoubleOption opt_bj_thd (omain, "bjthd", "Backjumping threshold", 0.5, DoubleRange(0, false, 1, false)); +static BoolOption opt_simp (omain, "rmvsatcl", "Remove satisfied clauses", true); +static IntOption opt_simp_thd (omain, "rmvsatclthd", "Threshold of removing satisfied clauses", 2, IntRange(0,INT32_MAX)); +static DoubleOption opt_coef (omain, "coef", "TDscore coefficient", 100, DoubleRange(0, true, 10000000, true)); +static BoolOption opt_natw (omain, "natw", "Natural number weight. If off, real number weight ([0, 1])", false); +static BoolOption opt_ddnnf (omain, "ddnnf", "Constructing a d-DNNF", false); +static StringOption opt_nnfout (omain, "nnfout", "Outfile for d-DNNF", "NULL"); +static StringOption opt_varscore (omain, "varscore", "Input file for giving scores of variables", "NULL"); + +static const char* opp = "GPMC -- Preprocessor"; +static StringOption opt_ppout (opp, "ppout", "Outfile for Simplified CNF", "NULL"); +static IntOption opt_varlimit (opp, "varlim", "limit on #Vars in Preprocessing.", 200000, IntRange(0, INT32_MAX)); +static DoubleOption opt_pptimelim (opp, "pptimelim", "Time threshold of preprocessing (not precise).", 120, DoubleRange(0, true, DBL_MAX, true)); +static IntOption opt_pprep (opp, "ppreps", "#reps of the main loop of preprocessing.", 20, IntRange(1, INT32_MAX)); +static IntOption opt_ppverb (opp, "ppverb", "Preprocessing verbosity level (0=some, 1=more).", 0, IntRange(0, 1)); +static BoolOption opt_ee (opp, "pp_ee", "Use equivalent literal elimination.", true); +static IntOption opt_ee_varlim (opp, "ee-varlim", "limit on #Vars in equivalent literal elimination.", 150000, IntRange(0, INT32_MAX)); +static BoolOption opt_ve (opp, "pp_ve", "Use variable elimination.", true); +static IntOption opt_vereps (opp, "ve_reps", "VE: the number of repetitions", 400, IntRange(0, INT32_MAX)); +static IntOption opt_dvereps (opp, "dve_reps", "DefVE: the number of repetitions", 10, IntRange(0, INT32_MAX)); +static BoolOption opt_vemore (opp, "ve_more", "VE: target more variables", true); +static DoubleOption opt_dvetimelim(opp, "dve_timelim", "DefVE: time limit", 60.0, DoubleRange(0, true, DBL_MAX, true)); +static BoolOption opt_cs (opp, "pp_cs", "Clause Strengthening", true); + +static const char* otd = "GPMC -- Tree Decomposition"; +static BoolOption opt_td (otd, "td", "Tree Decomposition", true); +static BoolOption opt_alwtd (otd, "alwtd", "Tree Decomposition (definitely, without any conditions)", false); +static IntOption opt_td_varlim (otd, "tdvarlim", "Limit on #Vars in Tree Decomposition", 150000, IntRange(0, INT32_MAX)); +static DoubleOption opt_td_dlim (otd, "tddenlim", "Limit on density of graph in Tree Decomposition", 0.10, DoubleRange(0, true, 1, true)); +static DoubleOption opt_td_rlim (otd, "tdratiolim", "Limit on ratio (edges/vars) of graph in Tree Decomposition", 30.0, DoubleRange(0, true, 1000, true)); +static DoubleOption opt_td_twvar (otd, "twvarlim", "Limit on tw/vars", 0.25, DoubleRange(0, true, 1, true)); +static DoubleOption opt_td_to (otd, "tdtime", "Time Limit on Tree Decomposition", 0, DoubleRange(0, true, INT32_MAX, true)); + +static StringOption opt_tdout (otd, "tdout", "Outfile for Tree Decomposition", "NULL"); + +//================================================================================================= +static Mode int2Mode(int mode) { + switch(mode) { + case 0: return MC;break; + case 1: return WMC;break; + case 2: return PMC;break; + case 3: return WPMC;break; + default: + assert(false); + return MC; + } +} + +Configuration::Configuration() { + cntr.mode = int2Mode(opt_mode); + cntr.ddnnf = opt_ddnnf; + cntr.precision = opt_precision; + cntr.coef_tdscore = opt_coef; + cntr.backjump = opt_bj; + cntr.bj_threshold = opt_bj_thd; + cntr.remove_sat_cls = opt_simp; + cntr.rmvsatcl_threshold = opt_simp_thd; + cntr.natw = opt_natw; + cntr.pp_outfile = opt_ppout; + cntr.td_outfile = opt_tdout; + cntr.nnf_outfile = opt_nnfout; + cntr.doTD = opt_td || opt_alwtd; + cntr.alwTD = opt_alwtd; + cntr.watchCand = (opt_mode == WMC || opt_mode == WPMC || opt_ddnnf); + cntr.vs_infile = opt_varscore; + cntr.keepVarMap = opt_ddnnf || (cntr.vs_infile != "NULL"); + + + cm.weighted = (opt_mode == WMC || opt_mode == WPMC); + cm.ddnnf = opt_ddnnf; + cm.varSelectionHueristics = opt_vs; + cm.cachesize = opt_cachesize; + + pp.varlimit = opt_varlimit; + pp.timelim = opt_pptimelim; + pp.reps = opt_pprep; + pp.verb = opt_ppverb; + pp.ee = opt_ee; + pp.ee_varlim = opt_ee_varlim; + pp.ve = opt_ve; + pp.ve_reps = opt_vereps; + pp.dve_reps = opt_dvereps; + pp.ve_more = opt_vemore; + pp.dve_timelimit = opt_dvetimelim; + pp.cs = opt_cs; + pp.ve_dve = true; + + td.varlim = opt_td_varlim; + td.denselim = opt_td_dlim; + td.ratiolim = opt_td_rlim; + td.twvarlim = opt_td_twvar; + td.timelim = opt_td_to; +} diff --git a/3rdParty/GPMC/core/Config.h b/3rdParty/GPMC/core/Config.h new file mode 100644 index 00000000..c5ca21fb --- /dev/null +++ b/3rdParty/GPMC/core/Config.h @@ -0,0 +1,84 @@ +#ifndef CONFIG_H_ +#define CONFIG_H_ + +#include +#include +#include "utils/Options.h" + +namespace GPMC { + +using namespace Glucose1; + +enum Mode { MC, WMC, PMC, WPMC }; + +struct ConfigCounter { + Mode mode; + bool ddnnf; + int precision; + double coef_tdscore; + bool backjump; + double bj_threshold; + bool remove_sat_cls; + bool rmvsatcl_threshold; + bool natw; + std::string pp_outfile; + std::string td_outfile; + std::string nnf_outfile; + bool doPreprocss; + bool doTD; + bool alwTD; + bool watchCand; + std::string vs_infile; + bool keepVarMap; +}; + +struct ConfigComponentManager { + bool weighted; + bool ddnnf; + int varSelectionHueristics; + int cachesize; +}; + +struct ConfigPreprocessor { + int varlimit; + double timelim; + double reps; + int verb; + + // EE + bool ee; + int ee_varlim; + + // VE/DefVE + bool ve; + bool ve_dve; + int ve_reps; + int dve_reps; + bool ve_more; + bool ve_check; + double dve_timelimit; + + // CS + bool cs; +}; + +struct ConfigTreeDecomposition { + double varlim; // Limit on #Vars + double denselim; // Limit on density of graph + double ratiolim; // Limit on ratio (edges/vars) of graph + double twvarlim; // Limit on tw/vars + double timelim; // Time Limit +}; + +class Configuration { +public: + ConfigCounter cntr; + ConfigComponentManager cm; + ConfigPreprocessor pp; + ConfigTreeDecomposition td; + + Configuration(); + ~Configuration() { } +}; +} +#endif /* CONFIG_H_ */ diff --git a/3rdParty/GPMC/core/Constants.h b/3rdParty/GPMC/core/Constants.h new file mode 100644 index 00000000..7ccb7e2b --- /dev/null +++ b/3rdParty/GPMC/core/Constants.h @@ -0,0 +1,33 @@ +/************************************************************************************[Constants.h] + Glucose1 -- Copyright (c) 2009, Gilles Audemard, Laurent Simon + CRIL - Univ. Artois, France + LRI - Univ. Paris Sud, France + +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. +**************************************************************************************************/ + +#define DYNAMICNBLEVEL +#define CONSTANTREMOVECLAUSE +#define UPDATEVARACTIVITY + +// Constants for clauses reductions +#define RATIOREMOVECLAUSES 2 + + + +// Constants for restarts +#define LOWER_BOUND_FOR_BLOCKING_RESTART 10000 + diff --git a/3rdParty/GPMC/core/Counter.cc b/3rdParty/GPMC/core/Counter.cc new file mode 100644 index 00000000..e22c41cb --- /dev/null +++ b/3rdParty/GPMC/core/Counter.cc @@ -0,0 +1,1127 @@ +#include +#include "core/Counter.h" +#include "mtl/Sort.h" +#include "utils/System.h" + +#include +#include +#include + +using namespace Glucose1; +using namespace GPMC; + +//================================================================================================= +// Constructor + +template +Counter::Counter(Configuration& config_) : + sat (false) +, npmodels (0) +, config (config_.cntr) +, tdconfig (config_.td) +, conflicts_pre (0) +, decisions_pre (0) +, propagations_pre (0) +, conflicts_sg (0) +, decisions_sg (0) +, propagations_sg (0) +, sats (0) +, nbackjumps (0) +, nbackjumps_sp (0) +, reduce_dbs_pre (0) +, simp_dbs (0) +, simplify_time (0.0) +, npvars (0) +, npvars_isolated (0) +, limlevel (0) +, last_suc (false) +, last_bklevel (0) +, last_cr (CRef_Undef) +, last_lit (lit_Undef) +, gweight (1) +, on_bj (config_.cntr.backjump) +, on_simp (config_.cntr.remove_sat_cls) +, progress (INIT) +, verbosity_c (1) +{ + verbosity = 0; + showModel = false; + + switch(config_.cntr.mode) { + case MC: + wc = false, mc = true; break; + case WMC: + wc = true, mc = true; break; + case PMC: + wc = false, mc = false; break; + case WPMC: + wc = true, mc = false; break; + } + + pp.setConfig(config_.pp); + cmpmgr.setConfig(config_.cm); +} +//================================================================================================= +// Load instance +template +void Counter::load(std::istream& in) +{ + ins.load(in, wc, !mc, config.keepVarMap); + + if(config.vs_infile != "NULL") { + std::ifstream vin(config.vs_infile); + if (vin) { + ins.importVarScore(vin); + vin.close(); + } + else { + std::cerr << "Cannot open file:" << config.vs_infile << std::endl; + exit(1); + } + } + + progress = LOADED; +} +//================================================================================================= +// Preprocessing +template +bool Counter::preprocess() +{ + sat = pp.Simplify(&ins); + + bool done = ins.unsat || ins.vars == 0; + + if(ins.unsat) { + npmodels = 0; + if(config.ddnnf) cmpmgr.setRoot(BOTTOM_NODE); + progress = COMPLETED_BYPP; + } + else if (ins.vars == 0) { + if(wc) { + npmodels = ins.gweight; + gweight = ins.gweight; + } + else { + npmodels = ((T_data)1) << ins.freevars; + npvars_isolated = ins.freevars; + } + + if(config.ddnnf) + cmpmgr.setRoot(TOP_NODE); + + progress = COMPLETED_BYPP; + } + else { + progress = PREPROCESSED; + if (config.pp_outfile != "NULL") { + printf("c o outputing simplified CNF..."); + ofstream out(config.pp_outfile); + if (out) { + ins.toDimacs(out); + out.close(); + printf("done\n"); + } + else { + std::cerr << "Cannot open file:" << config.pp_outfile << std::endl; + } + } + } + + return done; +} + +// Inprocessing +template +bool Counter::simplify() +{ + if (!ok || propagate() != CRef_Undef) + return ok = false; + + if (nAssigns() == simpDB_assigns || (simpDB_props > 0)) + return true; + + double cpu_time = cpuTime(); + + // Remove satisfied clauses: + removeSatisfied(learnts); + if (remove_satisfied) // Can be turned off. + removeSatisfied(clauses); + // checkGarbage(); + // rebuildOrderHeap(); + + simpDB_assigns = nAssigns(); + simpDB_props = clauses_literals + learnts_literals; // (shouldn't depend on stats really, but it will do for now) + + simp_dbs++; + simplify_time += cpuTime() - cpu_time; + + if(simp_dbs >= config.rmvsatcl_threshold) + on_simp = false; + return true; +} + +//================================================================================================= +// Major methods: +template +bool Counter::countModels() +{ + if (progress != PREPROCESSED) { + printf("c o The instance is not preprocessed, or model counting is already done.\n"); + return false; + } + + import(); + solves = starts = 0; + count_main(); + cancelUntil(0); + + progress = asynch_interrupt ? FAILED : COMPLETED; + return !asynch_interrupt; +} + +template +void Counter::count_main() +{ + int backtrack_level; + vec learnt_clause,selectors; + unsigned int nblevels,szWoutSelectors; + + btStateT bstate = RESOLVED; + limlevel = 0; + cmpmgr.init(nVars(),nPVars(),clauses,ca); + + for(;;) { + assert(!cmpmgr.topDecision().hasUnprocessedSplitComp()); + if(asynch_interrupt) return; + + int bpos = trail.size(); + for(int i = 0; i < unitcls.size(); i++){ + enqueue(unitcls[i]); + vardata[var(unitcls[i])].level = 0; + activity[var(unitcls[i])] = 0; + } + if(decisionLevel() == 0) unitcls.clear(); + + CRef confl = propagate(); + if(config.watchCand) { + for(int i = bpos; i < trail.size(); i++){ + if(var(trail[i]) < npvars && cmpmgr.isDecCand(var(trail[i]))) { + if(wc) cmpmgr.topDecision().mulBranchWeight(lit_weight[toInt(trail[i])]); + if(config.ddnnf) cmpmgr.addLitNode(trail[i]); + } + } + } + + if(confl != CRef_Undef){ + // CONFLICT + if(config.ddnnf) cmpmgr.addNode(BOTTOM_NODE); + + conflicts++; + if(conflicts % 5000 == 0 && var_decay < 0.95) + var_decay += 0.01; + + if(decisionLevel() == 0) break; + + learnt_clause.clear(); + selectors.clear(); + bool suc = analyzeMC(confl, learnt_clause, selectors, backtrack_level, nblevels, szWoutSelectors); + if(!suc) { + nbackjumps_sp++; + bjResolve(backtrack_level); + bstate = RESOLVED; + continue; + } + + CRef cr = CRef_Undef; + if (learnt_clause.size() == 1){ + unitcls.push(learnt_clause[0]); nbUn++; + } + else { + cr = ca.alloc(learnt_clause, true); + learnts.push(cr); + ca[cr].setLBD(nblevels); + ca[cr].setSizeWithoutSelectors(szWoutSelectors); + if(nblevels<=2) nbDL2++; + if(ca[cr].size()==2) nbBin++; + + attachClause(cr); + claBumpActivity(ca[cr]); + } + + varDecayActivity(); + claDecayActivity(); + + bstate = Resolve(backtrack_level, cr, learnt_clause[0]); + } else { + // NO CONFLICT + assert(!cmpmgr.topDecision().hasUnprocessedSplitComp()); + + // SPLIT THE CURRENT COMPONENT + int nsplitcomps = cmpmgr.splitComponent(assigns, lit_weight); + + if(nsplitcomps == 0) { + // NO NEW COMPONENT (#MODELS of the current component is found) + cmpmgr.topDecision().increaseModels((T_data)1, true); + bstate = backtrack(); + } + else { + bstate = GO_TO_NEXT_COMP; + + // PROCESS COMPONENTS WITHOUT PROJECTION VARS FIRST + lbool sat_status = l_Undef; + while(cmpmgr.topDecision().hasUnprocessedSplitComp() + && !cmpmgr.topComponent().hasPVar()) { + sat_status = solveSAT(); // SAT solving, i.e., try to find only one model + + if(sat_status == l_True) { + sats++; + cmpmgr.topDecision().increaseModels((T_data)1, true); + if(!cmpmgr.topComponent().hasPVar()) + cmpmgr.cacheModelCountOf(cmpmgr.topComponent().id(),1,TOP_NODE); + cmpmgr.eraseComponentStackID(); + cmpmgr.popComponent(); + } + else if(sat_status == l_False) break; + else { assert(asynch_interrupt); asynch_interrupt = true; return;} + } + + if(sat_status == l_False){ + while(cmpmgr.topDecision().hasUnprocessedSplitComp()) + cmpmgr.popComponent(); + cmpmgr.removeCachePollutions(); + + if(!last_suc) { + nbackjumps_sp++; + bjResolve(last_bklevel); + bstate = RESOLVED; + continue; + } + + bstate = Resolve(last_bklevel, last_cr, last_lit); + } else if(!cmpmgr.topDecision().hasUnprocessedSplitComp()){ + bstate = backtrack(); + } + } + } + + if(bstate == EXIT) break; + else if(bstate == RESOLVED) continue; + + assert(cmpmgr.topComponent().hasPVar()); + + if (on_simp && decisionLevel() <= limlevel && cmpmgr.checkfixedDL() && !simplify()) { + cmpmgr.topDecision().increaseModels((T_data)0, false); + if(config.ddnnf) cmpmgr.addNode(BOTTOM_NODE); + bstate = backtrack(); + if(bstate == EXIT) break; + else { assert(false); abort(); } + } + + if(conflicts>=(uint64_t)curRestart* nbclausesbeforereduce) + { + assert(learnts.size()>0); + curRestart = (conflicts/ nbclausesbeforereduce)+1; + reduceDB(); + nbclausesbeforereduce += incReduceDB; + } + + // DECIDE A LITERAL FROM TOP COMPONENT + Var dec_var = cmpmgr.pickBranchVar(activity, exscore); + decisions++; + + newDecisionLevel(); + cmpmgr.pushDecision(trail.size()); + + Lit dlit = mkLit(dec_var, polarity[dec_var]); + uncheckedEnqueue(dlit); + if(config.watchCand) { + if(wc) cmpmgr.topDecision().setBranchWeight(lit_weight[toInt(dlit)]); + if(config.ddnnf) cmpmgr.setDecisionNode(dlit); + cmpmgr.setDecCand(); + } + } + sat = cmpmgr.topDecision().hasModel(); + if(config.ddnnf) { + cmpmgr.setRoot(cmpmgr.makeBranchNode(UNDEF_VAL)); // abuse makeBranchNode ... + cmpmgr.NodeManager().compressANDs(); + } + + if(wc) + npmodels = cmpmgr.topDecision().totalModels() * gweight; + else + npmodels = cmpmgr.topDecision().totalModels() << nIsoPVars(); +} + +template +bool Counter::analyzeMC(CRef confl, vec& out_learnt, vec&selectors, + int& out_btlevel, unsigned int &lbd, unsigned int &szWithoutSelectors) { + int pathC = 0; + Lit p = lit_Undef; + + // Generate conflict clause: + // + out_learnt.push(); // (leave room for the asserting literal) + int index = trail.size() - 1; + + do { + assert(confl != CRef_Undef); // (otherwise should be UIP) + Clause& c = ca[confl]; + + // Special case for binary clauses + // The first one has to be SAT + if (p != lit_Undef && c.size() == 2 && value(c[0]) == l_False) { + + assert(value(c[1])==l_True); + Lit tmp = c[0]; + c[0] = c[1], c[1] = tmp; + } + + if (c.learnt()) + claBumpActivity(c); + +#ifdef DYNAMICNBLEVEL + // DYNAMIC NBLEVEL trick (see competition'09 companion paper) + if (c.learnt() && c.lbd() > 2) { + unsigned int nblevels = computeLBDMC(c); + if (nblevels + 1 < c.lbd()) { // improve the LBD + if (c.lbd() <= lbLBDFrozenClause) { + c.setCanBeDel(false); + } + // seems to be interesting : keep it for the next round + c.setLBD(nblevels); // Update it + } + } +#endif + + for (int j = (p == lit_Undef) ? 0 : 1; j < c.size(); j++) { + Lit q = c[j]; + + if (!seen[var(q)] && level(var(q)) > 0) { + if (!isSelector(var(q))) + varBumpActivity(var(q)); + seen[var(q)] = 1; + if (level(var(q)) >= decisionLevel()) { + pathC++; +#ifdef UPDATEVARACTIVITY + // UPDATEVARACTIVITY trick (see competition'09 companion paper) + if (!isSelector(var(q)) && (reason(var(q)) != CRef_Undef) + && ca[reason(var(q))].learnt()) + lastDecisionLevel.push(q); +#endif + + } else { + if (isSelector(var(q))) { + assert(value(q) == l_False); + selectors.push(q); + } else + out_learnt.push(q); + } + } + } + + // added by k-hasimt + if (pathC <= 0) { + // backjump conservatively to restart + out_btlevel = 0; + for (int i = 1; i < out_learnt.size(); i++) { + seen[var(out_learnt[i])] = 0; + if (out_btlevel < level(var(out_learnt[i]))) + out_btlevel = level(var(out_learnt[i])); + } + if (out_btlevel > 0) + out_btlevel--; + for (int j = 0; j < selectors.size(); j++) + seen[var(selectors[j])] = 0; + // ToDo: make an appropriate learnt clause and do backjumping. + return false; + } + //--- + /* + // Select next clause to look at: + while (!seen[var(trail[index--])]); + p = trail[index+1]; + confl = reason(var(p)); + seen[var(p)] = 0; + pathC--; + */ + do { + // Select next clause to look at: + while (!seen[var(trail[index--])]) + ; + p = trail[index + 1]; + confl = reason(var(p)); + seen[var(p)] = 0; + pathC--; + if (confl == CRef_Undef && pathC > 0) { + out_learnt.push(~p); + assert(level(var(p)) <= decisionLevel()); + } + } while (confl == CRef_Undef && pathC > 0); + + } while (pathC > 0); + out_learnt[0] = ~p; + + // Simplify conflict clause: + // + int i, j; + + for (int i = 0; i < selectors.size(); i++) + out_learnt.push(selectors[i]); + + out_learnt.copyTo(analyze_toclear); + if (ccmin_mode == 2) { + uint32_t abstract_level = 0; + for (i = 1; i < out_learnt.size(); i++) + abstract_level |= abstractLevel(var(out_learnt[i])); // (maintain an abstraction of levels involved in conflict) + + for (i = j = 1; i < out_learnt.size(); i++) + if (reason(var(out_learnt[i])) == CRef_Undef + || !litRedundant(out_learnt[i], abstract_level)) + out_learnt[j++] = out_learnt[i]; + + } else if (ccmin_mode == 1) { + for (i = j = 1; i < out_learnt.size(); i++) { + Var x = var(out_learnt[i]); + + if (reason(x) == CRef_Undef) + out_learnt[j++] = out_learnt[i]; + else { + Clause& c = ca[reason(var(out_learnt[i]))]; + // Thanks to Siert Wieringa for this bug fix! + for (int k = ((c.size() == 2) ? 0 : 1); k < c.size(); k++) + if (!seen[var(c[k])] && level(var(c[k])) > 0) { + out_learnt[j++] = out_learnt[i]; + break; + } + } + } + } else + i = j = out_learnt.size(); + + max_literals += out_learnt.size(); + out_learnt.shrink(i - j); + tot_literals += out_learnt.size(); + + /* *************************************** + Minimisation with binary clauses of the asserting clause + First of all : we look for small clauses + Then, we reduce clauses with small LBD. + Otherwise, this can be useless + */ + if (!incremental && out_learnt.size() <= lbSizeMinimizingClause) { + minimisationWithBinaryResolution(out_learnt); + } + // Find correct backtrack level: + // + if (out_learnt.size() == 1) + out_btlevel = 0; + else { + int max_i = 1; + // Find the first literal assigned at the next-highest level: + for (int i = 2; i < out_learnt.size(); i++) + if (level(var(out_learnt[i])) > level(var(out_learnt[max_i]))) + max_i = i; + // Swap-in this literal at index 1: + Lit p = out_learnt[max_i]; + out_learnt[max_i] = out_learnt[1]; + out_learnt[1] = p; + out_btlevel = level(var(p)); + } + + // Compute the size of the clause without selectors (incremental mode) + if (incremental) { + szWithoutSelectors = 0; + for (int i = 0; i < out_learnt.size(); i++) { + if (!isSelector(var((out_learnt[i])))) + szWithoutSelectors++; + else if (i > 0) + break; + } + } else + szWithoutSelectors = out_learnt.size(); + + // Compute LBD + lbd = computeLBDMC(out_learnt, out_learnt.size() - selectors.size()); + +#ifdef UPDATEVARACTIVITY + // UPDATEVARACTIVITY trick (see competition'09 companion paper) + if (lastDecisionLevel.size() > 0) { + for (int i = 0; i < lastDecisionLevel.size(); i++) { + if (ca[reason(var(lastDecisionLevel[i]))].lbd() < lbd) + varBumpActivity(var(lastDecisionLevel[i])); + } + lastDecisionLevel.clear(); + } +#endif + + for (int j = 0; j < analyze_toclear.size(); j++) + seen[var(analyze_toclear[j])] = 0; // ('seen[]' is now cleared) + for (int j = 0; j < selectors.size(); j++) + seen[var(selectors[j])] = 0; + + return true; +} + +template +inline void Counter::bjResolve(int level) { + cancelUntil(level); + cmpmgr.backjumpTo(level); + cmpmgr.removeCachePollutions(); + cmpmgr.topDecision().increaseModels((T_data)0, false); // reset + if(config.ddnnf) cmpmgr.removeChildComponentNodes(); +} + +template +inline btStateT Counter::Resolve(int bk_level, CRef cr, Lit lit) { + int level = std::max(bk_level, limlevel); + bool canjump = on_bj && level+1 < decisionLevel() && (double)level/decisionLevel() < config.bj_threshold; + if(canjump) { + nbackjumps++; + bjResolve(level); + if(cr != CRef_Undef) { + uncheckedEnqueue(lit, cr); + if(config.watchCand) { + if(var(lit) < npvars && cmpmgr.isDecCand(var(lit))) { + if(wc) cmpmgr.topDecision().mulBranchWeight(lit_weight[toInt(lit)]); + if(config.ddnnf) cmpmgr.addLitNode(lit); + } + } + } + if(nbackjumps > nPVars()) { + on_bj = false; + } + return RESOLVED; + } + else { + cmpmgr.topDecision().increaseModels((T_data)0, false); // set 0 (no model found at the current branch) + if(config.ddnnf) cmpmgr.addNode(BOTTOM_NODE); + return backtrack(); + } +} + +template +btStateT Counter::backtrack() { + if (decisionLevel() == 0) + return EXIT; + for (;;) { + assert(decisionLevel() > 0); + assert(!cmpmgr.topDecision().hasUnprocessedSplitComp()); + + if(wc) cmpmgr.topDecision().mulLitsWeights(); + if (cmpmgr.topDecision().isFirstBranch()) { + // FirstBranch + + Lit dlit = trail[trail_lim.last()]; + cancelCurDL(); + uncheckedEnqueue(~dlit); + // Note: we do not try to assign an extra lit by the learnt clause when conflict occurs, but it may be an option. + + limlevel = decisionLevel(); + cmpmgr.topDecision().changeBranch(); + if(wc) cmpmgr.topDecision().setBranchWeight(lit_weight[toInt(~dlit)]); + if(config.ddnnf) cmpmgr.setDecisionNode(~dlit); + return RESOLVED; + } else { + // SecondBranch + cmpmgr.prevDecision().increaseModels( + cmpmgr.topDecision().totalModels(), cmpmgr.topDecision().hasModel()); + NodeIndex snode = UNDEF_NODE; + if(config.ddnnf) { + Var x = var(trail[trail_lim.last()]); + snode = cmpmgr.makeBranchNode(x); + if(snode != BOTTOM_NODE) + cmpmgr.addNode(snode, cmpmgr.prevDecision().getNodeIdx()); + } + cmpmgr.cacheModelCountOf(cmpmgr.topComponent().id(), cmpmgr.topDecision().totalModels(), snode); + cmpmgr.eraseComponentStackID(); + + cancelCurDL(); + trail_lim.pop(); + cmpmgr.popDecision(); + cmpmgr.popComponent(); + + if (cmpmgr.topDecision().isUnSAT()) { + while (cmpmgr.topDecision().hasUnprocessedSplitComp()) + cmpmgr.popComponent(); + cmpmgr.removeCachePollutions(); + if(config.ddnnf) cmpmgr.addNode(BOTTOM_NODE); + } else if (cmpmgr.topDecision().hasUnprocessedSplitComp()) { + limlevel = decisionLevel() + 1; + return GO_TO_NEXT_COMP; + } + + if (decisionLevel() == 0) + return EXIT; + } + } + + assert(false); + return EXIT; +} + +template +void Counter::cancelCurDL() { + for (int c = trail.size() - 1; c >= trail_lim.last(); c--) { + Var x = var(trail[c]); + assigns[x] = l_Undef; + polarity[x] = sign(trail[c]); + } + qhead = trail_lim.last(); + trail.shrink(trail.size() - trail_lim.last()); +} + +template +lbool Counter::solveSAT(void) { + newDecisionLevel(); + int sat_start_dl = decisionLevel(); + + vec vs; + Var v; + Component & c = cmpmgr.topComponent(); + for (auto i = 0; (v = c[i]) != var_Undef; i++) { + decision[v] = true; + assert(value(v) == l_Undef); + if (value(v) == l_Undef) + vs.push(v); + } + order_heap.build(vs); + + solves++; + + trailQueue.fastclear(); + lbdQueue.fastclear(); + sumLBD = 0; + conflictsRestarts = 1; + + uint64_t old_conflicts = conflicts; + uint64_t old_decisions = decisions; + uint64_t old_propagations = propagations; + + lbool status = l_Undef; + while (status == l_Undef && !asynch_interrupt) { + status = searchBelow(sat_start_dl); + } + + conflicts_sg += conflicts - old_conflicts; + decisions_sg += decisions - old_decisions; + propagations_sg += propagations - old_propagations; + + for (auto i = 0; (v = c[i]) != var_Undef; i++) + decision[v] = false; + + cancelUntil(sat_start_dl - 1); + return status; +} + +template +lbool Counter::searchBelow(int start_dl) { + int backtrack_level; + int conflictC = 0; + vec learnt_clause, selectors; + unsigned int nblevels, szWoutSelectors; + bool blocked = false; + starts++; + + for (;;) { + CRef confl = propagate(); + if (confl != CRef_Undef) { + // CONFLICT + conflicts++; + conflictC++; + conflictsRestarts++; + if (conflicts % 5000 == 0 && var_decay < 0.95) + var_decay += 0.01; + + if (decisionLevel() <= start_dl) { + // LAST CONFLICT + assert(decisionLevel() != 0); + + learnt_clause.clear(); + selectors.clear(); + last_suc = analyzeMC(confl, learnt_clause, selectors, + last_bklevel, nblevels, szWoutSelectors); + if (last_suc) { + last_lit = learnt_clause[0]; + last_cr = CRef_Undef; + if (learnt_clause.size() == 1) { + unitcls.push(learnt_clause[0]); + nbUn++; + } else { + last_cr = ca.alloc(learnt_clause, true); + learnts.push(last_cr); + ca[last_cr].setLBD(nblevels); + ca[last_cr].setSizeWithoutSelectors(szWoutSelectors); + if (nblevels <= 2) + nbDL2++; + if (ca[last_cr].size() == 2) + nbBin++; + + attachClause(last_cr); + claBumpActivity(ca[last_cr]); + } + varDecayActivity(); + claDecayActivity(); + } + + return l_False; + } + + trailQueue.push(trail.size()); + // BLOCK RESTART (CP 2012 paper) + if (conflictsRestarts > LOWER_BOUND_FOR_BLOCKING_RESTART + && lbdQueue.isvalid() + && trail.size() > R * trailQueue.getavg()) { + lbdQueue.fastclear(); + nbstopsrestarts++; + if (!blocked) { + lastblockatrestart = starts; + nbstopsrestartssame++; + blocked = true; + } + } + + learnt_clause.clear(); + selectors.clear(); + analyze(confl, learnt_clause, selectors, backtrack_level, nblevels, + szWoutSelectors); + + lbdQueue.push(nblevels); + sumLBD += nblevels; + + cancelUntil( + backtrack_level <= start_dl ? start_dl : backtrack_level); + + if (learnt_clause.size() == 1) { + uncheckedEnqueue(learnt_clause[0]); + vardata[var(learnt_clause[0])].level = 0; + unitcls.push(learnt_clause[0]); + nbUn++; + } else { + CRef cr = ca.alloc(learnt_clause, true); + ca[cr].setLBD(nblevels); + ca[cr].setSizeWithoutSelectors(szWoutSelectors); + if (nblevels <= 2) + nbDL2++; + if (ca[cr].size() == 2) + nbBin++; + learnts.push(cr); + attachClause(cr); + + claBumpActivity(ca[cr]); + uncheckedEnqueue(learnt_clause[0], cr); + } + varDecayActivity(); + claDecayActivity(); + + } else { + // Our dynamic restart, see the SAT09 competition compagnion paper + if ((lbdQueue.isvalid() + && ((lbdQueue.getavg() * K) > (sumLBD / conflictsRestarts)))) { + lbdQueue.fastclear(); + // progress_estimate = progressEstimate(); + cancelUntil(start_dl); + return l_Undef; + } + + // Simplify the set of problem clauses: + //if (decisionLevel() == 0 && !simplify()) { + // return l_False; + //} + // Perform clause database reduction ! + if (conflicts >= (uint64_t) curRestart * nbclausesbeforereduce) { + assert(learnts.size() > 0); + curRestart = (conflicts / nbclausesbeforereduce) + 1; + reduceDB(); + nbclausesbeforereduce += incReduceDB; + } + + decisions++; + Lit next = pickBranchLit(); + if (next == lit_Undef) + return l_True; + + // Increase decision level and enqueue 'next' + newDecisionLevel(); + uncheckedEnqueue(next); + } + } + return l_Undef; +} + +//================================================================================================= +// Print methods: +template +void Counter::printStats() const +{ + if(verbosity_c) { + if(progress == COMPLETED || progress == FAILED) { + printf("c o [Statistics]\n"); + printf("c o conflicts = %-11"PRIu64" (count %"PRIu64", sat %"PRIu64")\n", conflicts, conflicts-conflicts_sg, conflicts_sg); + printf("c o decisions = %-11"PRIu64" (count %"PRIu64", sat %"PRIu64")\n", decisions, decisions-decisions_sg, decisions_sg); + printf("c o propagations = %-11"PRIu64" (count %"PRIu64", sat %"PRIu64")\n", propagations, propagations-propagations_sg, propagations_sg); + printf("c o simp dbs = %-11"PRIu64" (%.3f s)\n", simp_dbs, simplify_time); + printf("c o reduce dbs = %-11"PRIu64"\n", nbReduceDB); + printf("c o learnts (uni/bin/lbd2)= %"PRIu64"/%"PRIu64"/%"PRIu64"\n", nbUn, nbBin, nbDL2); + printf("c o last learnts = %-11d (%"PRIu64" learnts removed, %4.2f%%)\n", learnts.size(), nbRemovedClauses, nbRemovedClauses * 100 / (double)conflicts); + + printStatsOfCM(); + printf("c o isolated_pvars = %"PRIu64"\n", nIsoPVars()); + printf("c o SAT calls = %-11"PRIu64" (SAT %"PRIu64", UNSAT %"PRIu64")\n", solves, sats, solves-sats); + printf("c o SAT starts = %"PRIu64"\n", starts); + printf("c o backjumps = %-11"PRIu64" (sp %"PRIu64") [init %s / final %s]\n", nbackjumps+nbackjumps_sp, nbackjumps_sp, config.backjump ? "on" : "off", on_bj ? "on" : "off"); + printf("c o\n"); + } + if(config.ddnnf) { + printf("c o [d-DNNF Stats]\n"); + ins.printVarMapStats(); + const DTNodeManager& nmgr = cmpmgr.NodeManagerConst(); + nmgr.printStats(); + printf("c o\n"); + } + + fflush(stdout); + } +} + +template +void Counter::writeNNF() { + if(!config.ddnnf) { + cout << "c o No d-DNNF is constructed." << endl; + return; + } + + ofstream out(config.nnf_outfile); + if (out) { + cout << "c o writing d-DNNF to file " << config.nnf_outfile << " ... "; fflush(stdout); + ins.writeVarMap(out); + cmpmgr.NodeManager().printNNF(out); + cout << "done" << endl;; + out.close(); + } + else { + cerr << "Cannot open file:" << config.nnf_outfile << endl; + } +} + +template +T_data Counter::mcDDNNF() { + if(!config.ddnnf) { + cout << "c o No d-DNNF is constructed." << endl; + return 0; + } + + DTNodeManager& nm = cmpmgr.NodeManager(); + if(wc) + return nm.countModel(lit_weight, wc) * gweight; + else + return nm.countModel(lit_weight, wc) << nIsoPVars(); +} + +//================================================================================================= +// Methods for Importing instance and additional information +template +void Counter::loadWeight() +{ + if(!wc) return; + + gweight = ins.gweight; + lit_weight.clear(); + lit_weight.growTo(2*npvars); + for(int i=0; i +void Counter::import() +{ + int nvars = ins.vars; + watches .init(mkLit(nvars-1, true )); + watchesBin .init(mkLit(nvars-1, true )); + assigns .growTo(nvars, l_Undef); + vardata .growTo(nvars, mkVarData(CRef_Undef, 0)); + activity .growTo(nvars, 0); + seen .growTo(nvars, 0); + permDiff .growTo(nvars, 0); + polarity .growTo(nvars, true); + decision .growTo(nvars); + trail .capacity(nvars); + for(int i=0; i +void Counter::setExtraVarScore() +{ + exscore.clear(); + exscore.growTo(ins.npvars, 0); + + if(config.vs_infile != "NULL") + setGivenVarScore(); + else if(config.doTD) + computeTDScore(); +} + +template +void Counter::computeTDScore() +{ + bool conditionOnCNF = ins.vars > 20 && ins.vars <= tdconfig.varlim && ins.learnts.size() <= ins.clauses.size(); + if(!(conditionOnCNF || config.alwTD)) { + printf("c o skip td\n"); + return; + } + + Graph Primal(ins.vars, ins.clauses); + printf("c o Primal graph: nodes %d, edges %d\n", ins.vars, Primal.numEdges()); + + bool conditionOnPrimalGraph = + (double)Primal.numEdges()/((long) ins.vars * ins.vars) <= tdconfig.denselim + && (double)Primal.numEdges()/ins.vars <= tdconfig.ratiolim; + if(!(conditionOnPrimalGraph || config.alwTD)) { + printf("c o skip td\n"); + return; + } + + // run FlowCutter + printf("c o FlowCutter is running...\n");fflush(stdout); + IFlowCutter FC(ins.vars, Primal.numEdges(), tdconfig.timelim); + FC.importGraph(Primal); + Primal.clear(); + TreeDecomposition td = FC.constructTD(); + + bool uselessTD = true; + if(td.numNodes() > 0) { // if TD construction is successful + // find a centroid of the constructed TD + int centroid = td.centroid(ins.npvars); + + // write the the constructed TD (if needed) + if(config.td_outfile != "NULL") { + ofstream out(config.td_outfile); + if(out) { + td.toDimacs(out, centroid+1, ins.npvars); + out.close(); + } else { + std::cerr << "Cannot open file:" << config.td_outfile << std::endl; + } + } + + bool conditionOnTreeWidth = (double)td.width()/ins.npvars < tdconfig.twvarlim; + if(conditionOnTreeWidth || config.alwTD) { + std::vector dists = td.distanceFromCentroid(ins.npvars); + if(!dists.empty()) { + int max_dst = 0; + for(int i=0; i 0) { + for(int i=0; i +void Counter::setGivenVarScore() { + if(!config.keepVarMap || ins.score.size() == 0) return; + + for(int i=0; i +inline unsigned int Counter::computeLBDMC(const vec & lits,int end) { + int nblevels = 0; + MYFLAG++; + + if(incremental) { // ----------------- INCREMENTAL MODE + if(end==-1) end = lits.size(); + unsigned int nbDone = 0; + for(int i=0;i=end) break; + if(isSelector(var(lits[i]))) continue; + nbDone++; + int l = level(var(lits[i])); + if (permDiff[l] != MYFLAG) { + permDiff[l] = MYFLAG; + nblevels++; + } + } + } else { // -------- DEFAULT MODE. NOT A LOT OF DIFFERENCES... BUT EASIER TO READ + for(int i=0;i +inline unsigned int Counter::computeLBDMC(const Clause &c) { + int nblevels = 0; + MYFLAG++; + + if(incremental) { // ----------------- INCREMENTAL MODE + int nbDone = 0; + for(int i=0;i=c.sizeWithoutSelectors()) break; + if(isSelector(var(c[i]))) continue; + nbDone++; + int l = level(var(c[i])); + if (permDiff[l] != MYFLAG) { + permDiff[l] = MYFLAG; + nblevels++; + } + } + } else { // -------- DEFAULT MODE. NOT A LOT OF DIFFERENCES... BUT EASIER TO READ + for(int i=0;i; diff --git a/3rdParty/GPMC/core/Counter.h b/3rdParty/GPMC/core/Counter.h new file mode 100644 index 00000000..173405e9 --- /dev/null +++ b/3rdParty/GPMC/core/Counter.h @@ -0,0 +1,147 @@ +#ifndef Counter_h +#define Counter_h + +#include "core/Solver.h" +#include "core/Component.h" +#include "core/Config.h" +#include "core/Instance.h" +#include "preprocessor/Preprocessor.h" +#include "ddnnf/DecisionTree.h" + +using namespace Glucose1; + +namespace GPMC { + +#define GPMC_VERSION "gpmc-1.1.1" + +enum progressT { + INIT, LOADED, PREPROCESSED, COMPLETED_BYPP, COMPLETED, FAILED +}; + +enum btStateT { + EXIT, RESOLVED, GO_TO_NEXT_COMP +}; + +template +class Counter: public Solver { +public: + // Constructor/Destructor + // + Counter(Configuration& config); + ~Counter() { }; + + // Methods + // + void load(std::istream& in); // load an input instance + bool preprocess(); // preprocessing for simplification + void setExtraVarScore(); // set exscore + bool countModels(); // main count method + void printStats() const; // print statistics + const T_data& getMC() { return npmodels; } // get the computed count + + void writeNNF(); + T_data mcDDNNF(); + + int nPVars() const; // The number of non-isolated projection variables + int nIsoPVars() const; // The number of isolated projection variables + + // Data members + // + bool sat; + T_data npmodels; + + // options + ConfigCounter config; + ConfigTreeDecomposition tdconfig; + + /// statistics + uint64_t conflicts_pre, decisions_pre, propagations_pre; + uint64_t conflicts_sg, decisions_sg, propagations_sg; + uint64_t sats, nbackjumps, nbackjumps_sp; + uint64_t reduce_dbs_pre, simp_dbs; + double simplify_time; + +protected: + // Methods + // + bool simplify(); + + // import a CNF instance + void import(); + void loadWeight(); + + // set extra var scores + void computeTDScore(); // compute var score from tree decomposition + void setGivenVarScore(); // set extra var score from file (from ins.score, consistently with ins.gmap) + + /// count main method + void count_main(); + + /// backtrack + btStateT backtrack(); // int backtrack_level = -1); //, Lit lit = lit_Undef, CRef cr = CRef_Undef); + void cancelCurDL(); + void bjResolve(int level); + btStateT Resolve(int bk_level, CRef cr, Lit lit); + + /// SAT solving for the current component + lbool solveSAT(); + lbool searchBelow(int start_level); + + bool analyzeMC(CRef confl, vec& out_learnt, vec & selectors, + int& out_btlevel, unsigned int &nblevels, + unsigned int &szWithoutSelectors); + unsigned int computeLBDMC(const vec & lits, int end); + unsigned int computeLBDMC(const Clause &c); + + /// Print stats of the component manager. + void printStatsOfCM() const; + + // Data members + // + int npvars; // boundary number between projection vars and non-projection vars + int npvars_isolated; // Number of isolated projection vars + + ComponentManager cmpmgr; // The manger for processing components + vec> occ_lists; + + vec unitcls; // The list of learnt unit clauses + + int limlevel; // for limited backjump + bool last_suc; + int last_bklevel; + CRef last_cr; + Lit last_lit; + + vec lit_weight; // literal weight + T_data gweight; // global weight + + vec exscore; // extra score for variable selection + + bool on_bj; // limited bachjump on/off + bool on_simp; // in-processing simplification on/off + + progressT progress; // counter progress + + int verbosity_c; // verbosity level + bool mc; // mc or pmc + bool wc; // weighted or no-weighted + + PPMC::Preprocessor pp; // preprocessor + Instance ins; // CNF instance (for preprocessor) +}; + +template +inline int Counter::nPVars() const { + return npvars; +} +template +inline int Counter::nIsoPVars() const { + return npvars_isolated; +} +template +inline void Counter::printStatsOfCM() const { + cmpmgr.printStats(); +} +} + +#endif diff --git a/3rdParty/GPMC/core/Dimacs.h b/3rdParty/GPMC/core/Dimacs.h new file mode 100644 index 00000000..1b8f363b --- /dev/null +++ b/3rdParty/GPMC/core/Dimacs.h @@ -0,0 +1,190 @@ +/****************************************************************************************[Dimacs.h] +Copyright (c) 2003-2006, Niklas Een, Niklas Sorensson +Copyright (c) 2007-2010, Niklas Sorensson + +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. + **************************************************************************************************/ +// Modified so that our counter can accept dimacs cnf files with a specification of projection variables +// by Kenji Hashimoto + + +#ifndef Glucose1_Dimacs_h +#define Glucose1_Dimacs_h + +#include + +#include "utils/ParseUtils.h" +#include "core/SolverTypes.h" + +using namespace Glucose1; + +namespace GPMC { + +//================================================================================================= +// DIMACS Parser: + +template +static void readClause(B& in, Solver& S, vec& lits) { + int parsed_lit, var; + lits.clear(); + for (;;){ + parsed_lit = parseInt(in); + if (parsed_lit == 0) break; + var = abs(parsed_lit)-1; + while (var >= S.nVars()) S.newVar(); + lits.push( (parsed_lit > 0) ? mkLit(var) : ~mkLit(var) ); + } +} + +// --- Added by k-hasimt --- BEGIN +// Read projection vars +template +static void readProjVars(B& in, Solver&S) { + if(S.mc) { skipLine(in); return; } + + int parsed_var; + for (;;){ + parsed_var = parseInt(in); + if (parsed_var == 0) break; + while (parsed_var-1 >= S.nVars()) S.newVar(); + S.registerAsPVar(parsed_var-1, true); + } +} +template +static void readWeight(B& in, Solver &S) { + int parsed_lit, var; + double weight; + + parsed_lit = parseInt(in); + var = abs(parsed_lit)-1; + weight = parseDoubleWeight(in); + Lit lit = (parsed_lit > 0) ? mkLit(var) : ~mkLit(var); + S.setWeight(lit, weight); + // S.setWeight(~lit, (double)1-weight); + + parsed_lit = parseInt(in); + if(parsed_lit != 0) + printf("c o PARSE ERROR! Unexpected char: %c\n", *in), exit(3); +} +// --- Added by k-hasimt --- END + +template +static void parse_DIMACS_main(B& in, Solver& S) { + vec lits; + int vars = 0; + int clauses = 0; + int cnt = 0; + int pvars = 0; + + enum FILEFORMAT { CNFCR, MC2020, MC2021 }; + enum FILEFORMAT format = MC2021; + + for (;;){ + skipWhitespace(in); + if (*in == EOF) break; + else if (*in == 'p'){ + B in_b = in; + if (eagerMatch(in, "p cnf")){ + vars = parseInt(in); + clauses = parseInt(in); + if(S.wc) S.initWeights(2*vars); + // pvars = parseInt(in); + // SATRACE'06 hack + // if (clauses > 4000000) + // S.eliminate(true); + } else if (eagerMatch(in_b, "p pcnf")) { // added by k-hasimt + in = in_b; + vars = parseInt(in); + clauses = parseInt(in); + pvars = parseInt(in); + format = MC2020; // mcc2020 + }else{ + printf("c o PARSE ERROR! Unexpected char: %c\n", *in), exit(3); + } + // } else if (*in == 'c' || *in == 'p') + } else if (*in == 'c') { + if (eagerMatch(in, "c p")) { + skipWhitespace(in); + if (*in == 's') { + if (eagerMatch(in, "show")) { + readProjVars(in, S); + format = MC2021; + } + } + else if(*in == 'w') { + if (eagerMatch(in, "weight")) { + readWeight(in, S); + } + } +/* + } else if (eagerMatch(in_c, "cr")) { + in = in_c; + readProjVars(in, S); + format = CNFCR; +*/ + } else + skipLine(in); + } else if (*in == 'v'){ + if (eagerMatch(in, "vp")) { // added by k-hasimt + readProjVars(in, S); + } else { + printf("c o PARSE ERROR! Unexpected char: %c\n", *in), exit(3); + } + } + else{ + cnt++; + readClause(in, S, lits); + S.addClause_(lits); } + } + if (vars < S.nVars()) + fprintf(stderr, "c o WARNING! DIMACS header mismatch: wrong number of variables.\n"); + if (cnt != clauses) + fprintf(stderr, "c o WARNING! DIMACS header mismatch: wrong number of clauses.\n"); + if (format == MC2020 && pvars == S.nPVars()) + fprintf(stderr, "c o WARNING! DIMACS header mismatch: wrong number of pvars.\n"); + + if(S.mc) { + while (vars > S.nVars()) S.newVar(); + S.registerAllVarsAsPVar(vars); + // Note: We adopt the varnum in the header(p cnf ...) as the number of all variables. + // Sometimes the varnum in the header and the number of variables really appearing in the clauses are different. + // In such cases, we prefer the header. + } + else + S.registerAsPVar(S.nVars(), false); // Added by k-hasimt (Assertion: S.ispvar.size() == nVars()"+1") + + if(S.verbosity_c) { + printf("c o Input format: "); + switch(format) { + case CNFCR: printf("CNF+CR\n"); break; + case MC2020: printf("MC2020\n");break; + case MC2021: printf("MC2021\n");break; + default: printf("Unknown\n"); + } + } +} + +// Inserts problem into solver. +// +template +static void parse_DIMACS(gzFile input_stream, Solver& S) { + StreamBuffer in(input_stream); + parse_DIMACS_main(in, S); } + +//================================================================================================= +} + +#endif diff --git a/3rdParty/GPMC/core/Instance.cc b/3rdParty/GPMC/core/Instance.cc new file mode 100644 index 00000000..22a0ce18 --- /dev/null +++ b/3rdParty/GPMC/core/Instance.cc @@ -0,0 +1,374 @@ +#include "../core/Instance.h" + +#include "mtl/Sort.h" + +#include +#include +#include +#include + +using namespace Glucose1; +using namespace GPMC; +using namespace std; + +template +Instance::Instance() : +vars(0), +weighted(false), +projected(false), +npvars(0), +freevars(0), +gweight(1), +keepVarMap(false), +unsat(false) +{} + +static inline Lit SignedIntToLit(int signed_int) { + assert(signed_int != 0); + int v = abs(signed_int)-1; + return (signed_int > 0) ? mkLit(v) : ~mkLit(v); +} + +static void Tokens(string buf, vector& ret) { + ret.push_back(""); + for (char c : buf) { + if (std::isspace(c)) { + if (!ret.back().empty()) { + ret.push_back(""); + } + } else { + ret.back() += c; + } + } + if (ret.back().empty()) ret.pop_back(); +} + +template +void Instance::load(istream& in, bool weighted, bool projected, bool keepVarMap) { + this->weighted = weighted; + this->projected = projected; + this->keepVarMap = keepVarMap; + + string buf; + vector ps; + vector tokens; + bool parse_error = false; + bool typeSpecified = false; + npvars = 0; + ispvars.clear(); + + while (getline(in, buf)) { + if (buf.empty()) continue; + tokens.clear(); + Tokens(buf, tokens); + + if(tokens.size() == 0) continue; + else if (tokens[0] == "p") { + if (tokens.size() == 4 && tokens[1] == "cnf") { + vars = stoi(tokens[2]); + int ncls = stoi(tokens[3]); + assigns.resize(vars, l_Undef); + assignedLits.clear(); + + if(projected) { + if(ispvars.size() < vars) { + ispvars.resize(vars, false); + + } + } else { + ispvars.resize(vars, true); + npvars = vars; + } + + if(weighted) + lit_weights.resize(2*vars, 1); + } + else + cerr << "c c Header Error!" << endl; + } + else if (tokens[0][0] == 'c') { + if(tokens[0] == "c" && tokens[1] == "p") { + if(tokens[2] == "weight") { // Read the weight of a literal + if(weighted && tokens.size() == 6 && tokens.back() == "0") { + int lit = stoi(tokens[3]); + Lit l = SignedIntToLit(lit); + lit_weights[toInt(l)] = tokens[4]; + } + } + else if(tokens[2] == "show") { // Read the list of projected vars + if(projected && tokens.back() == "0") { + for(int i=3; i= ispvars.size()) + ispvars.resize(v, false); + ispvars[v-1] = true; + if(keepVarMap) + pvars.push_back(v-1); + npvars++; + } + } + } + else if(tokens[2] == "gweight") { + if(weighted && tokens.size() == 5 && tokens.back() == "0") { + gweight = tokens[3]; + } + } + } + else if(tokens[0] == "cr") { + if(projected && tokens.back() == "0") { + for(int i=1; i= ispvars.size()) + ispvars.resize(v, false); + ispvars[v-1] = true; + if(keepVarMap) + pvars.push_back(v-1); + npvars++; + } + } + } + } + else { // Read clause + int lit = 0; + assert(tokens.size() > 0); + for(auto token : tokens) { + lit = stoi(token); + if(lit == 0) break; + ps.push_back(SignedIntToLit(lit)); + } + if(lit == 0) { + if(!addClause(ps)) { + return; + } + ps.clear(); + } else { + cerr << "c c invalid Clause!" << endl; + } + } + } + + learnts.clear(); + + if(keepVarMap) { + gmap.clear(); + + if(projected) { + for(auto v : pvars) + gmap.push_back(mkLit(v)); + } else { + for(int i=0; i +bool Instance::addClause(vector& ps, bool learnt) { + sort(ps.begin(), ps.end()); + + vec oc; + oc.clear(); + + Lit p; int i, j, flag = 0; + + for (i = j = 0, p = lit_Undef; i < ps.size(); i++) + if (value(ps[i]) == l_True || ps[i] == ~p) + return true; + else if (value(ps[i]) != l_False && ps[i] != p) + ps[j++] = p = ps[i]; + ps.resize(j); + + if (ps.size() == 0) { + unsat = true; + return false; + } + else if (ps.size() == 1) { + assigns[var(ps[0])] = lbool(!sign(p)); + assignedLits.push_back(ps[0]); + // No check by UP here. Preprocessor will do later. + } + else { + clauses.push_back({}); + copy(ps.begin(), ps.end(), back_inserter(clauses.back())); + } + return true; +} + +template +void Instance::printVarMapStats() const { + cout << "c o #PVars(Original) " << gmap.size() << endl; + cout << "c o #PVars(Simplified) " << npvars << endl; + cout << "c o #Fixed_Literals " << fixedLits.size() << endl; + cout << "c o #FreeLitClasses " << freeLitClasses.size() << endl; + cout << "c o #DefinedVars " << definedVars.size() << endl; +} + +template +void Instance::writeVarMap(std::ostream& out) { + using namespace std; + + // c p vmap orignal_vars simplified_vars + out << "p vmap " << gmap.size() << " " << npvars << " " << fixedLits.size() << " " << freeLitClasses.size() << " " << definedVars.size() << endl; + + // fixed literals: + // c fix l1 .... ln 0 + if(fixedLits.size() > 0) { + out << "a "; + if(projected) { + for(Lit l : fixedLits) + out << (sign(l)?"-":"") << (pvars[var(l)]+1) << " "; + } + else { + for(Lit l : fixedLits) + out << (sign(l)?"-":"") << (var(l)+1) << " "; + } + + out << "0" << endl; + } + + // free literals classes + // f l1 .... ln 0 + if(freeLitClasses.size() > 0) { + if(projected) { + for(auto flc : freeLitClasses) { + out << "f "; + for(Lit l : flc) + out << (sign(l)?"-":"") << (pvars[var(l)]+1) << " "; + out << "0" << endl; + } + } else { + for(auto flc : freeLitClasses) { + out << "f "; + for(Lit l : flc) + out << (sign(l)?"-":"") << (var(l)+1) << " "; + out << "0" << endl; + } + } + } + + // determined vars + // c det v1 ... vn 0 + if(definedVars.size() > 0) { + out << "d "; + if(projected) { + for(Var v : definedVars) + out << (pvars[v]+1) << " "; + } + else { + for(Var v : definedVars) + out << (v+1) << " "; + } + out << "0" << endl; + } + + // var-to-lit renaming: + // v orig_var simplified_lit + if(projected) { + for(int i=0; i +void Instance::importVarScore(std::istream& in) { + score.clear(); + score.resize(npvars, 0); + + vector rvmap; + if(projected) { + rvmap.clear(); + rvmap.resize(vars, -1); + for(int i=0; i tokens; + string buf; + int var; + while (getline(in, buf)) { + if (buf.empty()) continue; + tokens.clear(); + Tokens(buf, tokens); + + if(tokens.size() == 0) continue; + if(tokens.size() != 2) { + cerr << "c c Parse Error! Invalid line in the given varscore file!" << endl; + exit(1); + } + else { + int var = stoi(tokens[0])-1; + double s = stod(tokens[1]); + + assert(var <= vars); + if(0 <= var && var > vars) { + cerr << "c c Parse Error! Invalid line in the given varscore file!" << endl; + exit(1); + } + if(projected) + score[rvmap[var]] = s; + else + score[var] = s; + } + } +} + +// For Debug +template + void Instance::toDimacs(std::ostream& out) + { + using namespace std; + + out << "c free vars: " << freevars << endl; + out << "p cnf " << vars + freevars << " " << clauses.size() << endl; + + if(!weighted && !projected) + out << "c t mc" << endl; + else if(weighted && !projected) + out << "c t wmc" << endl; + else if(!weighted && projected) + out << "c t pmc" << endl; + else if(weighted && projected) + out << "c t wpmc" << endl; + + if(projected) { + out << "c p show "; + for (int i=0; i; diff --git a/3rdParty/GPMC/core/Instance.h b/3rdParty/GPMC/core/Instance.h new file mode 100644 index 00000000..609f20d5 --- /dev/null +++ b/3rdParty/GPMC/core/Instance.h @@ -0,0 +1,82 @@ +#ifndef Instance_h +#define Instance_h + +#include +#include "core/SolverTypes.h" + +#include + +namespace GPMC { + +// values for variable map +const Glucose1::Var var_Determined = {-2}; + +template +class Instance { +public: + Instance(); + + void load (std::istream& in, bool weighted, bool projected, bool ddnnf); + bool addClause (std::vector& lits, bool learnt=false); + + Glucose1::lbool value (Glucose1::Var x) const; + Glucose1::lbool value (Glucose1::Lit p) const; + + // variable correspondence + void printVarMapStats() const; + void writeVarMap(std::ostream& out); + + // import extra var score + void importVarScore(std::istream& in); + + // For Debug + void toDimacs(std::ostream& out); + + // CNF formula + int vars; + std::vector> clauses; + std::vector> learnts; + + // Counter Mode + bool weighted; + bool projected; + + // For WMC/WPMC + std::vector lit_weights; + + // For PMC/WPMC + int npvars; + std::vector ispvars; + std::vector pvars; + + // Instance keeps temporal fixed literals. Preprocessor will eliminate fixed variables. + std::vector assigns; + std::vector assignedLits; + + // additional information + int freevars; + T_data gweight; + + // information about correspondence with a given CNF + bool keepVarMap; + std::vector gmap; // variable renaming (original (Var) -> simplified (Lit)) + std::vector fixedLits; // fixed Literals + std::vector definedVars; // variables defined by the other variables + std::vector> freeLitClasses; // equivalence classes of free literals + + // extra var score + std::vector score; + + // State + bool unsat; + +}; + +template +inline Glucose1::lbool Instance::value (Glucose1::Var x) const { return assigns[x]; } +template +inline Glucose1::lbool Instance::value (Glucose1::Lit p) const { return assigns[var(p)] ^ sign(p); } + +} + +#endif diff --git a/3rdParty/GPMC/core/Solver.cc b/3rdParty/GPMC/core/Solver.cc new file mode 100644 index 00000000..59cec2d3 --- /dev/null +++ b/3rdParty/GPMC/core/Solver.cc @@ -0,0 +1,1489 @@ +/***************************************************************************************[Solver.cc] + Glucose1 -- Copyright (c) 2013, Gilles Audemard, Laurent Simon + CRIL - Univ. Artois, France + LRI - Univ. Paris Sud, France + +Glucose1 sources are based on MiniSat (see below MiniSat copyrights). +Permissions and copyrights of Glucose1 are exactly the same as Minisat on which +it is based on. (see below). + +--------------- + +Copyright (c) 2003-2006, Niklas Een, Niklas Sorensson +Copyright (c) 2007-2010, Niklas Sorensson + +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. +**************************************************************************************************/ + +#include + +#include "core/Constants.h" +#include "core/Solver.h" +#include "mtl/Sort.h" +#include "utils/System.h" + +using namespace Glucose1; + +//================================================================================================= +// Options: + +static const char *_cat = "CORE"; +static const char *_cr = "CORE -- RESTART"; +static const char *_cred = "CORE -- REDUCE"; +static const char *_cm = "CORE -- MINIMIZE"; +static const char *_certified = "CORE -- CERTIFIED UNSAT"; + +static BoolOption opt_incremental(_cat, "incremental", + "Use incremental SAT solving", false); +static DoubleOption opt_K(_cr, "K", "The constant used to force restart", 0.8, + DoubleRange(0, false, 1, false)); +static DoubleOption opt_R(_cr, "R", "The constant used to block restart", 1.4, + DoubleRange(1, false, 5, false)); +static IntOption + opt_size_lbd_queue(_cr, "szLBDQueue", + "The size of moving average for LBD (restarts)", 50, + IntRange(10, INT32_MAX)); +static IntOption opt_size_trail_queue( + _cr, "szTrailQueue", + "The size of moving average for trail (block restarts)", 5000, + IntRange(10, INT32_MAX)); + +static IntOption + opt_first_reduce_db(_cred, "firstReduceDB", + "The number of conflicts before the first reduce DB", + 2000, IntRange(0, INT32_MAX)); +static IntOption opt_inc_reduce_db(_cred, "incReduceDB", + "Increment for reduce DB", 300, + IntRange(0, INT32_MAX)); +static IntOption opt_spec_inc_reduce_db(_cred, "specialIncReduceDB", + "Special increment for reduce DB", 1000, + IntRange(0, INT32_MAX)); +static IntOption opt_lb_lbd_frozen_clause( + _cred, "minLBDFrozenClause", + "Protect clauses if their LBD decrease and is lower than (for one turn)", + 30, IntRange(0, INT32_MAX)); + +static IntOption + opt_lb_size_minimzing_clause(_cm, "minSizeMinimizingClause", + "The min size required to minimize clause", 30, + IntRange(3, INT32_MAX)); +static IntOption + opt_lb_lbd_minimzing_clause(_cm, "minLBDMinimizingClause", + "The min LBD required to minimize clause", 6, + IntRange(3, INT32_MAX)); + +static DoubleOption opt_var_decay(_cat, "var-decay", + "The variable activity decay factor", 0.8, + DoubleRange(0, false, 1, false)); +static DoubleOption opt_clause_decay(_cat, "cla-decay", + "The clause activity decay factor", 0.999, + DoubleRange(0, false, 1, false)); +static DoubleOption + opt_random_var_freq(_cat, "rnd-freq", + "The frequency with which the decision heuristic tries " + "to choose a random variable", + 0, DoubleRange(0, true, 1, true)); +static DoubleOption opt_random_seed(_cat, "rnd-seed", + "Used by the random variable selection", + 91648253, + DoubleRange(0, false, HUGE_VAL, false)); +static IntOption opt_ccmin_mode( + _cat, "ccmin-mode", + "Controls conflict clause minimization (0=none, 1=basic, 2=deep)", 2, + IntRange(0, 2)); +static IntOption opt_phase_saving( + _cat, "phase-saving", + "Controls the level of phase saving (0=none, 1=limited, 2=full)", 2, + IntRange(0, 2)); +static BoolOption opt_rnd_init_act(_cat, "rnd-init", + "Randomize the initial activity", false); +/* +static IntOption opt_restart_first (_cat, "rfirst", "The base +restart interval", 100, IntRange(1, INT32_MAX)); static DoubleOption +opt_restart_inc (_cat, "rinc", "Restart interval increase factor", +2, DoubleRange(1, false, HUGE_VAL, false)); +*/ +static DoubleOption opt_garbage_frac(_cat, "gc-frac", + "The fraction of wasted memory allowed " + "before a garbage collection is triggered", + 0.20, + DoubleRange(0, false, HUGE_VAL, false)); + +static BoolOption opt_certified(_certified, "certified", + "Certified UNSAT using DRUP format", false); +static StringOption opt_certified_file(_certified, "certified-output", + "Certified UNSAT output file", "NULL"); + +//================================================================================================= +// Constructor/Destructor: + +Solver::Solver() + : + + // Parameters (user settable): + // + verbosity(0), showModel(0), K(opt_K), R(opt_R), + sizeLBDQueue(opt_size_lbd_queue), sizeTrailQueue(opt_size_trail_queue), + firstReduceDB(opt_first_reduce_db), incReduceDB(opt_inc_reduce_db), + specialIncReduceDB(opt_spec_inc_reduce_db), + lbLBDFrozenClause(opt_lb_lbd_frozen_clause), + lbSizeMinimizingClause(opt_lb_size_minimzing_clause), + lbLBDMinimizingClause(opt_lb_lbd_minimzing_clause), + var_decay(opt_var_decay), clause_decay(opt_clause_decay), + random_var_freq(opt_random_var_freq), random_seed(opt_random_seed), + ccmin_mode(opt_ccmin_mode), phase_saving(opt_phase_saving), + rnd_pol(false), rnd_init_act(opt_rnd_init_act), + garbage_frac(opt_garbage_frac), certifiedOutput(NULL), + certifiedUNSAT(opt_certified) + // Statistics: (formerly in 'SolverStats') + // + , + nbRemovedClauses(0), nbReducedClauses(0), nbDL2(0), nbBin(0), nbUn(0), + nbReduceDB(0), solves(0), starts(0), decisions(0), rnd_decisions(0), + propagations(0), conflicts(0), conflictsRestarts(0), nbstopsrestarts(0), + nbstopsrestartssame(0), lastblockatrestart(0), dec_vars(0), + clauses_literals(0), learnts_literals(0), max_literals(0), + tot_literals(0), curRestart(1) + + , + ok(true), cla_inc(1), var_inc(1), watches(WatcherDeleted(ca)), + watchesBin(WatcherDeleted(ca)), qhead(0), simpDB_assigns(-1), + simpDB_props(0), order_heap(VarOrderLt(activity)), progress_estimate(0), + remove_satisfied(true) + + // Resource constraints: + // + , + conflict_budget(-1), propagation_budget(-1), asynch_interrupt(false), + incremental(opt_incremental), nbVarsInitialFormula(INT32_MAX) { + MYFLAG = 0; + // Initialize only first time. Useful for incremental solving, useless + // otherwise + lbdQueue.initSize(sizeLBDQueue); + trailQueue.initSize(sizeTrailQueue); + sumLBD = 0; + nbclausesbeforereduce = firstReduceDB; + totalTime4Sat = 0; + totalTime4Unsat = 0; + nbSatCalls = 0; + nbUnsatCalls = 0; + + if (certifiedUNSAT) { + if (!strcmp(opt_certified_file, "NULL")) { + certifiedOutput = fopen("/dev/stdout", "wb"); + } else { + certifiedOutput = fopen(opt_certified_file, "wb"); + } + // fprintf(certifiedOutput,"o proof DRUP\n"); + } +} + +Solver::~Solver() {} + +/**************************************************************** + Set the incremental mode +****************************************************************/ + +// This function set the incremental mode to true. +// You can add special code for this mode here. + +void Solver::setIncrementalMode() { incremental = true; } + +// Number of variables without selectors +void Solver::initNbInitialVars(int nb) { nbVarsInitialFormula = nb; } + +//================================================================================================= +// Minor methods: + +// Creates a new SAT variable in the solver. If 'decision' is cleared, variable +// will not be used as a decision variable (NOTE! This has effects on the +// meaning of a SATISFIABLE result). +// +Var Solver::newVar(bool sign, bool dvar) { + int v = nVars(); + watches.init(mkLit(v, false)); + watches.init(mkLit(v, true)); + watchesBin.init(mkLit(v, false)); + watchesBin.init(mkLit(v, true)); + assigns.push(l_Undef); + vardata.push(mkVarData(CRef_Undef, 0)); + // activity .push(0); + activity.push(rnd_init_act ? drand(random_seed) * 0.00001 : 0); + seen.push(0); + permDiff.push(0); + polarity.push(sign); + decision.push(); + trail.capacity(v + 1); + setDecisionVar(v, dvar); + return v; +} + +bool Solver::addClause_(vec &ps) { + assert(decisionLevel() == 0); + if (!ok) + return false; + + // Check if clause is satisfied and remove false/duplicate literals: + sort(ps); + + vec oc; + oc.clear(); + + Lit p; + int i, j, flag = 0; + if (certifiedUNSAT) { + for (i = j = 0, p = lit_Undef; i < ps.size(); i++) { + oc.push(ps[i]); + if (value(ps[i]) == l_True || ps[i] == ~p || value(ps[i]) == l_False) + flag = 1; + } + } + + for (i = j = 0, p = lit_Undef; i < ps.size(); i++) + if (value(ps[i]) == l_True || ps[i] == ~p) + return true; + else if (value(ps[i]) != l_False && ps[i] != p) + ps[j++] = p = ps[i]; + ps.shrink(i - j); + + if (flag && (certifiedUNSAT)) { + for (i = j = 0, p = lit_Undef; i < ps.size(); i++) + fprintf(certifiedOutput, "%i ", + (var(ps[i]) + 1) * (-2 * sign(ps[i]) + 1)); + fprintf(certifiedOutput, "0\n"); + + fprintf(certifiedOutput, "d "); + for (i = j = 0, p = lit_Undef; i < oc.size(); i++) + fprintf(certifiedOutput, "%i ", + (var(oc[i]) + 1) * (-2 * sign(oc[i]) + 1)); + fprintf(certifiedOutput, "0\n"); + } + + if (ps.size() == 0) + return ok = false; + else if (ps.size() == 1) { + uncheckedEnqueue(ps[0]); + return ok = (propagate() == CRef_Undef); + } else { + CRef cr = ca.alloc(ps, false); + clauses.push(cr); + attachClause(cr); + } + + return true; +} + +void Solver::attachClause(CRef cr) { + const Clause &c = ca[cr]; + + assert(c.size() > 1); + if (c.size() == 2) { + watchesBin[~c[0]].push(Watcher(cr, c[1])); + watchesBin[~c[1]].push(Watcher(cr, c[0])); + } else { + watches[~c[0]].push(Watcher(cr, c[1])); + watches[~c[1]].push(Watcher(cr, c[0])); + } + if (c.learnt()) + learnts_literals += c.size(); + else + clauses_literals += c.size(); +} + +void Solver::detachClause(CRef cr, bool strict) { + const Clause &c = ca[cr]; + + assert(c.size() > 1); + if (c.size() == 2) { + if (strict) { + remove(watchesBin[~c[0]], Watcher(cr, c[1])); + remove(watchesBin[~c[1]], Watcher(cr, c[0])); + } else { + // Lazy detaching: (NOTE! Must clean all watcher lists before garbage + // collecting this clause) + watchesBin.smudge(~c[0]); + watchesBin.smudge(~c[1]); + } + } else { + if (strict) { + remove(watches[~c[0]], Watcher(cr, c[1])); + remove(watches[~c[1]], Watcher(cr, c[0])); + } else { + // Lazy detaching: (NOTE! Must clean all watcher lists before garbage + // collecting this clause) + watches.smudge(~c[0]); + watches.smudge(~c[1]); + } + } + if (c.learnt()) + learnts_literals -= c.size(); + else + clauses_literals -= c.size(); +} + +void Solver::removeClause(CRef cr) { + + Clause &c = ca[cr]; + + if (certifiedUNSAT) { + fprintf(certifiedOutput, "d "); + for (int i = 0; i < c.size(); i++) + fprintf(certifiedOutput, "%i ", (var(c[i]) + 1) * (-2 * sign(c[i]) + 1)); + fprintf(certifiedOutput, "0\n"); + } + + detachClause(cr); + // Don't leave pointers to free'd memory! + if (locked(c)) + vardata[var(c[0])].reason = CRef_Undef; + c.mark(1); + ca.free(cr); +} + +bool Solver::satisfied(const Clause &c) const { + if (incremental) // Check clauses with many selectors is too time consuming + return (value(c[0]) == l_True) || (value(c[1]) == l_True); + + // Default mode. + for (int i = 0; i < c.size(); i++) + if (value(c[i]) == l_True) + return true; + return false; +} + +/************************************************************ + * Compute LBD functions + *************************************************************/ + +inline unsigned int Solver::computeLBD(const vec &lits, int end) { + int nblevels = 0; + MYFLAG++; + + if (incremental) { // ----------------- INCREMENTAL MODE + if (end == -1) + end = lits.size(); + unsigned int nbDone = 0; + for (int i = 0; i < lits.size(); i++) { + if (nbDone >= end) + break; + if (isSelector(var(lits[i]))) + continue; + nbDone++; + int l = level(var(lits[i])); + if (permDiff[l] != MYFLAG) { + permDiff[l] = MYFLAG; + nblevels++; + } + } + } else { // -------- DEFAULT MODE. NOT A LOT OF DIFFERENCES... BUT EASIER TO + // READ + for (int i = 0; i < lits.size(); i++) { + int l = level(var(lits[i])); + if (permDiff[l] != MYFLAG) { + permDiff[l] = MYFLAG; + nblevels++; + } + } + } + + return nblevels; +} + +inline unsigned int Solver::computeLBD(const Clause &c) { + int nblevels = 0; + MYFLAG++; + + if (incremental) { // ----------------- INCREMENTAL MODE + int nbDone = 0; + for (int i = 0; i < c.size(); i++) { + if (nbDone >= c.sizeWithoutSelectors()) + break; + if (isSelector(var(c[i]))) + continue; + nbDone++; + int l = level(var(c[i])); + if (permDiff[l] != MYFLAG) { + permDiff[l] = MYFLAG; + nblevels++; + } + } + } else { // -------- DEFAULT MODE. NOT A LOT OF DIFFERENCES... BUT EASIER TO + // READ + for (int i = 0; i < c.size(); i++) { + int l = level(var(c[i])); + if (permDiff[l] != MYFLAG) { + permDiff[l] = MYFLAG; + nblevels++; + } + } + } + return nblevels; +} + +/****************************************************************** + * Minimisation with binary reolution + ******************************************************************/ +void Solver::minimisationWithBinaryResolution(vec &out_learnt) { + + // Find the LBD measure + unsigned int lbd = computeLBD(out_learnt); + Lit p = ~out_learnt[0]; + + if (lbd <= lbLBDMinimizingClause) { + MYFLAG++; + + for (int i = 1; i < out_learnt.size(); i++) { + permDiff[var(out_learnt[i])] = MYFLAG; + } + + vec &wbin = watchesBin[p]; + int nb = 0; + for (int k = 0; k < wbin.size(); k++) { + Lit imp = wbin[k].blocker; + if (permDiff[var(imp)] == MYFLAG && value(imp) == l_True) { + nb++; + permDiff[var(imp)] = MYFLAG - 1; + } + } + int l = out_learnt.size() - 1; + if (nb > 0) { + nbReducedClauses++; + for (int i = 1; i < out_learnt.size() - nb; i++) { + if (permDiff[var(out_learnt[i])] != MYFLAG) { + Lit p = out_learnt[l]; + out_learnt[l] = out_learnt[i]; + out_learnt[i] = p; + l--; + i--; + } + } + + out_learnt.shrink(nb); + } + } +} + +// Revert to the state at given level (keeping all assignment at 'level' but not +// beyond). +// +void Solver::cancelUntil(int level) { + if (decisionLevel() > level) { + for (int c = trail.size() - 1; c >= trail_lim[level]; c--) { + Var x = var(trail[c]); + assigns[x] = l_Undef; + if (phase_saving > 1 || ((phase_saving == 1) && c > trail_lim.last())) + polarity[x] = sign(trail[c]); + insertVarOrder(x); + } + qhead = trail_lim[level]; + trail.shrink(trail.size() - trail_lim[level]); + trail_lim.shrink(trail_lim.size() - level); + } +} + +//================================================================================================= +// Major methods: + +Lit Solver::pickBranchLit() { + Var next = var_Undef; + + // Random decision: + if (drand(random_seed) < random_var_freq && !order_heap.empty()) { + next = order_heap[irand(random_seed, order_heap.size())]; + if (value(next) == l_Undef && decision[next]) + rnd_decisions++; + } + + // Activity based decision: + while (next == var_Undef || value(next) != l_Undef || !decision[next]) + if (order_heap.empty()) { + next = var_Undef; + break; + } else + next = order_heap.removeMin(); + + return next == var_Undef + ? lit_Undef + : mkLit(next, rnd_pol ? drand(random_seed) < 0.5 : polarity[next]); +} + +/*_________________________________________________________________________________________________ +| +| analyze : (confl : Clause*) (out_learnt : vec&) (out_btlevel : int&) -> +[void] +| +| Description: +| Analyze conflict and produce a reason clause. +| +| Pre-conditions: +| * 'out_learnt' is assumed to be cleared. +| * Current decision level must be greater than root level. +| +| Post-conditions: +| * 'out_learnt[0]' is the asserting literal at level 'out_btlevel'. +| * If out_learnt.size() > 1 then 'out_learnt[1]' has the greatest decision +level of the | rest of literals. There may be others from the same level +though. +| +|________________________________________________________________________________________________@*/ +void Solver::analyze(CRef confl, vec &out_learnt, vec &selectors, + int &out_btlevel, unsigned int &lbd, + unsigned int &szWithoutSelectors) { + int pathC = 0; + Lit p = lit_Undef; + + // Generate conflict clause: + // + out_learnt.push(); // (leave room for the asserting literal) + int index = trail.size() - 1; + + do { + assert(confl != CRef_Undef); // (otherwise should be UIP) + Clause &c = ca[confl]; + + // Special case for binary clauses + // The first one has to be SAT + if (p != lit_Undef && c.size() == 2 && value(c[0]) == l_False) { + + assert(value(c[1]) == l_True); + Lit tmp = c[0]; + c[0] = c[1], c[1] = tmp; + } + + if (c.learnt()) + claBumpActivity(c); + +#ifdef DYNAMICNBLEVEL + // DYNAMIC NBLEVEL trick (see competition'09 companion paper) + if (c.learnt() && c.lbd() > 2) { + unsigned int nblevels = computeLBD(c); + if (nblevels + 1 < c.lbd()) { // improve the LBD + if (c.lbd() <= lbLBDFrozenClause) { + c.setCanBeDel(false); + } + // seems to be interesting : keep it for the next round + c.setLBD(nblevels); // Update it + } + } +#endif + + for (int j = (p == lit_Undef) ? 0 : 1; j < c.size(); j++) { + Lit q = c[j]; + + if (!seen[var(q)] && level(var(q)) > 0) { + if (!isSelector(var(q))) + varBumpActivity(var(q)); + seen[var(q)] = 1; + if (level(var(q)) >= decisionLevel()) { + pathC++; +#ifdef UPDATEVARACTIVITY + // UPDATEVARACTIVITY trick (see competition'09 companion paper) + if (!isSelector(var(q)) && (reason(var(q)) != CRef_Undef) && + ca[reason(var(q))].learnt()) + lastDecisionLevel.push(q); +#endif + + } else { + if (isSelector(var(q))) { + assert(value(q) == l_False); + selectors.push(q); + } else + out_learnt.push(q); + } + } + } + + // Select next clause to look at: + while (!seen[var(trail[index--])]) + ; + p = trail[index + 1]; + confl = reason(var(p)); + seen[var(p)] = 0; + pathC--; + + } while (pathC > 0); + out_learnt[0] = ~p; + + // Simplify conflict clause: + // + int i, j; + + for (int i = 0; i < selectors.size(); i++) + out_learnt.push(selectors[i]); + + out_learnt.copyTo(analyze_toclear); + if (ccmin_mode == 2) { + uint32_t abstract_level = 0; + for (i = 1; i < out_learnt.size(); i++) + abstract_level |= + abstractLevel(var(out_learnt[i])); // (maintain an abstraction of + // levels involved in conflict) + + for (i = j = 1; i < out_learnt.size(); i++) + if (reason(var(out_learnt[i])) == CRef_Undef || + !litRedundant(out_learnt[i], abstract_level)) + out_learnt[j++] = out_learnt[i]; + + } else if (ccmin_mode == 1) { + for (i = j = 1; i < out_learnt.size(); i++) { + Var x = var(out_learnt[i]); + + if (reason(x) == CRef_Undef) + out_learnt[j++] = out_learnt[i]; + else { + Clause &c = ca[reason(var(out_learnt[i]))]; + // Thanks to Siert Wieringa for this bug fix! + for (int k = ((c.size() == 2) ? 0 : 1); k < c.size(); k++) + if (!seen[var(c[k])] && level(var(c[k])) > 0) { + out_learnt[j++] = out_learnt[i]; + break; + } + } + } + } else + i = j = out_learnt.size(); + + max_literals += out_learnt.size(); + out_learnt.shrink(i - j); + tot_literals += out_learnt.size(); + + /* *************************************** + Minimisation with binary clauses of the asserting clause + First of all : we look for small clauses + Then, we reduce clauses with small LBD. + Otherwise, this can be useless + */ + if (!incremental && out_learnt.size() <= lbSizeMinimizingClause) { + minimisationWithBinaryResolution(out_learnt); + } + // Find correct backtrack level: + // + if (out_learnt.size() == 1) + out_btlevel = 0; + else { + int max_i = 1; + // Find the first literal assigned at the next-highest level: + for (int i = 2; i < out_learnt.size(); i++) + if (level(var(out_learnt[i])) > level(var(out_learnt[max_i]))) + max_i = i; + // Swap-in this literal at index 1: + Lit p = out_learnt[max_i]; + out_learnt[max_i] = out_learnt[1]; + out_learnt[1] = p; + out_btlevel = level(var(p)); + } + + // Compute the size of the clause without selectors (incremental mode) + if (incremental) { + szWithoutSelectors = 0; + for (int i = 0; i < out_learnt.size(); i++) { + if (!isSelector(var((out_learnt[i])))) + szWithoutSelectors++; + else if (i > 0) + break; + } + } else + szWithoutSelectors = out_learnt.size(); + + // Compute LBD + lbd = computeLBD(out_learnt, out_learnt.size() - selectors.size()); + +#ifdef UPDATEVARACTIVITY + // UPDATEVARACTIVITY trick (see competition'09 companion paper) + if (lastDecisionLevel.size() > 0) { + for (int i = 0; i < lastDecisionLevel.size(); i++) { + if (ca[reason(var(lastDecisionLevel[i]))].lbd() < lbd) + varBumpActivity(var(lastDecisionLevel[i])); + } + lastDecisionLevel.clear(); + } +#endif + + for (int j = 0; j < analyze_toclear.size(); j++) + seen[var(analyze_toclear[j])] = 0; // ('seen[]' is now cleared) + for (int j = 0; j < selectors.size(); j++) + seen[var(selectors[j])] = 0; +} + +// Check if 'p' can be removed. 'abstract_levels' is used to abort early if the +// algorithm is visiting literals at levels that cannot be removed later. +bool Solver::litRedundant(Lit p, uint32_t abstract_levels) { + analyze_stack.clear(); + analyze_stack.push(p); + int top = analyze_toclear.size(); + while (analyze_stack.size() > 0) { + assert(reason(var(analyze_stack.last())) != CRef_Undef); + Clause &c = ca[reason(var(analyze_stack.last()))]; + analyze_stack.pop(); + if (c.size() == 2 && value(c[0]) == l_False) { + assert(value(c[1]) == l_True); + Lit tmp = c[0]; + c[0] = c[1], c[1] = tmp; + } + + for (int i = 1; i < c.size(); i++) { + Lit p = c[i]; + if (!seen[var(p)] && level(var(p)) > 0) { + if (reason(var(p)) != CRef_Undef && + (abstractLevel(var(p)) & abstract_levels) != 0) { + seen[var(p)] = 1; + analyze_stack.push(p); + analyze_toclear.push(p); + } else { + for (int j = top; j < analyze_toclear.size(); j++) + seen[var(analyze_toclear[j])] = 0; + analyze_toclear.shrink(analyze_toclear.size() - top); + return false; + } + } + } + } + + return true; +} + +/*_________________________________________________________________________________________________ +| +| analyzeFinal : (p : Lit) -> [void] +| +| Description: +| Specialized analysis procedure to express the final conflict in terms of +assumptions. | Calculates the (possibly empty) set of assumptions that led to +the assignment of 'p', and | stores the result in 'out_conflict'. +|________________________________________________________________________________________________@*/ +void Solver::analyzeFinal(Lit p, vec &out_conflict) { + out_conflict.clear(); + out_conflict.push(p); + + if (decisionLevel() == 0) + return; + + seen[var(p)] = 1; + + for (int i = trail.size() - 1; i >= trail_lim[0]; i--) { + Var x = var(trail[i]); + if (seen[x]) { + if (reason(x) == CRef_Undef) { + assert(level(x) > 0); + out_conflict.push(~trail[i]); + } else { + Clause &c = ca[reason(x)]; + // for (int j = 1; j < c.size(); j++) Minisat + // (Glucose1 2.0) loop + // Bug in case of assumptions due to special data structures for Binary. + // Many thanks to Sam Bayless (sbayless@cs.ubc.ca) for discover this + // bug. + for (int j = ((c.size() == 2) ? 0 : 1); j < c.size(); j++) + if (level(var(c[j])) > 0) + seen[var(c[j])] = 1; + } + + seen[x] = 0; + } + } + + seen[var(p)] = 0; +} + +#include +void Solver::uncheckedEnqueue(Lit p, CRef from) { + + assert(value(p) == l_Undef); + assigns[var(p)] = lbool(!sign(p)); + vardata[var(p)] = mkVarData(from, decisionLevel()); + trail.push_(p); +} + +/*_________________________________________________________________________________________________ +| +| propagate : [void] -> [Clause*] +| +| Description: +| Propagates all enqueued facts. If a conflict arises, the conflicting clause +is returned, | otherwise CRef_Undef. +| +| Post-conditions: +| * the propagation queue is empty, even if there was a conflict. +|________________________________________________________________________________________________@*/ +CRef Solver::propagate() { + CRef confl = CRef_Undef; + int num_props = 0; + watches.cleanAll(); + watchesBin.cleanAll(); + while (qhead < trail.size()) { + Lit p = trail[qhead++]; // 'p' is enqueued fact to propagate. + vec &ws = watches[p]; + Watcher *i, *j, *end; + num_props++; + + // First, Propagate binary clauses + vec &wbin = watchesBin[p]; + + for (int k = 0; k < wbin.size(); k++) { + + Lit imp = wbin[k].blocker; + + if (value(imp) == l_False) { + return wbin[k].cref; + } + + if (value(imp) == l_Undef) { + uncheckedEnqueue(imp, wbin[k].cref); + } + } + + for (i = j = (Watcher *)ws, end = i + ws.size(); i != end;) { + // Try to avoid inspecting the clause: + Lit blocker = i->blocker; + if (value(blocker) == l_True) { + *j++ = *i++; + continue; + } + + // Make sure the false literal is data[1]: + CRef cr = i->cref; + Clause &c = ca[cr]; + Lit false_lit = ~p; + if (c[0] == false_lit) + c[0] = c[1], c[1] = false_lit; + assert(c[1] == false_lit); + i++; + + // If 0th watch is true, then clause is already satisfied. + Lit first = c[0]; + Watcher w = Watcher(cr, first); + if (first != blocker && value(first) == l_True) { + + *j++ = w; + continue; + } + + // Look for new watch: + if (incremental) { // ----------------- INCREMENTAL MODE + int choosenPos = -1; + for (int k = 2; k < c.size(); k++) { + + if (value(c[k]) != l_False) { + if (decisionLevel() > assumptions.size()) { + choosenPos = k; + break; + } else { + choosenPos = k; + + if (value(c[k]) == l_True || !isSelector(var(c[k]))) { + break; + } + } + } + } + if (choosenPos != -1) { + c[1] = c[choosenPos]; + c[choosenPos] = false_lit; + watches[~c[1]].push(w); + goto NextClause; + } + } else { // ----------------- DEFAULT MODE (NOT INCREMENTAL) + for (int k = 2; k < c.size(); k++) { + + if (value(c[k]) != l_False) { + c[1] = c[k]; + c[k] = false_lit; + watches[~c[1]].push(w); + goto NextClause; + } + } + } + + // Did not find watch -- clause is unit under assignment: + *j++ = w; + if (value(first) == l_False) { + confl = cr; + qhead = trail.size(); + // Copy the remaining watches: + while (i < end) + *j++ = *i++; + } else { + uncheckedEnqueue(first, cr); + } + NextClause:; + } + ws.shrink(i - j); + } + propagations += num_props; + simpDB_props -= num_props; + + return confl; +} + +/*_________________________________________________________________________________________________ +| +| reduceDB : () -> [void] +| +| Description: +| Remove half of the learnt clauses, minus the clauses locked by the current +assignment. Locked | clauses are clauses that are reason to some assignment. +Binary clauses are never removed. +|________________________________________________________________________________________________@*/ +struct reduceDB_lt { + ClauseAllocator &ca; + reduceDB_lt(ClauseAllocator &ca_) : ca(ca_) {} + bool operator()(CRef x, CRef y) { + + // Main criteria... Like in MiniSat we keep all binary clauses + if (ca[x].size() > 2 && ca[y].size() == 2) + return 1; + + if (ca[y].size() > 2 && ca[x].size() == 2) + return 0; + if (ca[x].size() == 2 && ca[y].size() == 2) + return 0; + + // Second one based on literal block distance + if (ca[x].lbd() > ca[y].lbd()) + return 1; + if (ca[x].lbd() < ca[y].lbd()) + return 0; + + // Finally we can use old activity or size, we choose the last one + return ca[x].activity() < ca[y].activity(); + // return x->size() < y->size(); + + // return ca[x].size() > 2 && (ca[y].size() == 2 || ca[x].activity() < + // ca[y].activity()); } + } +}; + +void Solver::reduceDB() { + + int i, j; + nbReduceDB++; + sort(learnts, reduceDB_lt(ca)); + + // We have a lot of "good" clauses, it is difficult to compare them. Keep more + // ! + if (ca[learnts[learnts.size() / RATIOREMOVECLAUSES]].lbd() <= 3) + nbclausesbeforereduce += specialIncReduceDB; + // Useless :-) + if (ca[learnts.last()].lbd() <= 5) + nbclausesbeforereduce += specialIncReduceDB; + + // Don't delete binary or locked clauses. From the rest, delete clauses from + // the first half Keep clauses which seem to be usefull (their lbd was reduce + // during this sequence) + + int limit = learnts.size() / 2; + + for (i = j = 0; i < learnts.size(); i++) { + Clause &c = ca[learnts[i]]; + if (c.lbd() > 2 && c.size() > 2 && c.canBeDel() && !locked(c) && + (i < limit)) { + removeClause(learnts[i]); + nbRemovedClauses++; + } else { + if (!c.canBeDel()) + limit++; // we keep c, so we can delete an other clause + c.setCanBeDel(true); // At the next step, c can be delete + learnts[j++] = learnts[i]; + } + } + learnts.shrink(i - j); + checkGarbage(); +} + +void Solver::removeSatisfied(vec &cs) { + + int i, j; + for (i = j = 0; i < cs.size(); i++) { + Clause &c = ca[cs[i]]; + + if (satisfied(c)) + removeClause(cs[i]); + else + cs[j++] = cs[i]; + } + cs.shrink(i - j); +} + +void Solver::rebuildOrderHeap() { + vec vs; + for (Var v = 0; v < nVars(); v++) + if (decision[v] && value(v) == l_Undef) + vs.push(v); + order_heap.build(vs); +} + +/*_________________________________________________________________________________________________ +| +| simplify : [void] -> [bool] +| +| Description: +| Simplify the clause database according to the current top-level assigment. +Currently, the only | thing done here is the removal of satisfied clauses, +but more things can be put here. +|________________________________________________________________________________________________@*/ +bool Solver::simplify() { + assert(decisionLevel() == 0); + + if (!ok || propagate() != CRef_Undef) + return ok = false; + + if (nAssigns() == simpDB_assigns || (simpDB_props > 0)) + return true; + + // Remove satisfied clauses: + removeSatisfied(learnts); + if (remove_satisfied) // Can be turned off. + removeSatisfied(clauses); + checkGarbage(); + rebuildOrderHeap(); + + simpDB_assigns = nAssigns(); + simpDB_props = + clauses_literals + learnts_literals; // (shouldn't depend on stats really, + // but it will do for now) + + return true; +} + +/*_________________________________________________________________________________________________ +| +| search : (nof_conflicts : int) (params : const SearchParams&) -> [lbool] +| +| Description: +| Search for a model the specified number of conflicts. +| NOTE! Use negative value for 'nof_conflicts' indicate infinity. +| +| Output: +| 'l_True' if a partial assigment that is consistent with respect to the +clauseset is found. If | all variables are decision variables, this means +that the clause set is satisfiable. 'l_False' | if the clause set is +unsatisfiable. 'l_Undef' if the bound on number of conflicts is reached. +|________________________________________________________________________________________________@*/ +lbool Solver::search(int nof_conflicts) { + assert(ok); + int backtrack_level; + int conflictC = 0; + vec learnt_clause, selectors; + unsigned int nblevels, szWoutSelectors; + bool blocked = false; + starts++; + for (;;) { + CRef confl = propagate(); + if (confl != CRef_Undef) { + // CONFLICT + conflicts++; + conflictC++; + conflictsRestarts++; + if (conflicts % 5000 == 0 && var_decay < 0.95) + var_decay += 0.01; + + if (verbosity >= 1 && conflicts % verbEveryConflicts == 0) { + printf("c | %8d %7d %5d | %7d %8d %8d | %5d %8d %6d %8d | %6.3f " + "%% |\n", + (int)starts, (int)nbstopsrestarts, (int)(conflicts / starts), + (int)dec_vars - + (trail_lim.size() == 0 ? trail.size() : trail_lim[0]), + nClauses(), (int)clauses_literals, (int)nbReduceDB, nLearnts(), + (int)nbDL2, (int)nbRemovedClauses, progressEstimate() * 100); + } + if (decisionLevel() == 0) { + return l_False; + } + + trailQueue.push(trail.size()); + // BLOCK RESTART (CP 2012 paper) + if (conflictsRestarts > LOWER_BOUND_FOR_BLOCKING_RESTART && + lbdQueue.isvalid() && trail.size() > R * trailQueue.getavg()) { + lbdQueue.fastclear(); + nbstopsrestarts++; + if (!blocked) { + lastblockatrestart = starts; + nbstopsrestartssame++; + blocked = true; + } + } + + learnt_clause.clear(); + selectors.clear(); + analyze(confl, learnt_clause, selectors, backtrack_level, nblevels, + szWoutSelectors); + + lbdQueue.push(nblevels); + sumLBD += nblevels; + + cancelUntil(backtrack_level); + + if (certifiedUNSAT) { + for (int i = 0; i < learnt_clause.size(); i++) + fprintf(certifiedOutput, "%i ", + (var(learnt_clause[i]) + 1) * + (-2 * sign(learnt_clause[i]) + 1)); + fprintf(certifiedOutput, "0\n"); + } + + if (learnt_clause.size() == 1) { + uncheckedEnqueue(learnt_clause[0]); + nbUn++; + } else { + CRef cr = ca.alloc(learnt_clause, true); + ca[cr].setLBD(nblevels); + ca[cr].setSizeWithoutSelectors(szWoutSelectors); + if (nblevels <= 2) + nbDL2++; // stats + if (ca[cr].size() == 2) + nbBin++; // stats + learnts.push(cr); + attachClause(cr); + + claBumpActivity(ca[cr]); + uncheckedEnqueue(learnt_clause[0], cr); + } + varDecayActivity(); + claDecayActivity(); + + } else { + // Our dynamic restart, see the SAT09 competition compagnion paper + if ((lbdQueue.isvalid() && + ((lbdQueue.getavg() * K) > (sumLBD / conflictsRestarts)))) { + lbdQueue.fastclear(); + progress_estimate = progressEstimate(); + int bt = 0; + if (incremental) { // DO NOT BACKTRACK UNTIL 0.. USELESS + bt = (decisionLevel() < assumptions.size()) ? decisionLevel() + : assumptions.size(); + } + cancelUntil(bt); + return l_Undef; + } + + // Simplify the set of problem clauses: + if (decisionLevel() == 0 && !simplify()) { + return l_False; + } + // Perform clause database reduction ! + if (conflicts >= curRestart * nbclausesbeforereduce) { + + assert(learnts.size() > 0); + curRestart = (conflicts / nbclausesbeforereduce) + 1; + reduceDB(); + nbclausesbeforereduce += incReduceDB; + } + + Lit next = lit_Undef; + while (decisionLevel() < assumptions.size()) { + // Perform user provided assumption: + Lit p = assumptions[decisionLevel()]; + if (value(p) == l_True) { + // Dummy decision level: + newDecisionLevel(); + } else if (value(p) == l_False) { + analyzeFinal(~p, conflict); + return l_False; + } else { + next = p; + break; + } + } + + if (next == lit_Undef) { + // New variable decision: + decisions++; + next = pickBranchLit(); + + if (next == lit_Undef) { + // printf("c last restart ## conflicts : %d %d + // \n",conflictC,decisionLevel()); Model found: + return l_True; + } + } + + // Increase decision level and enqueue 'next' + newDecisionLevel(); + uncheckedEnqueue(next); + } + } +} + +double Solver::progressEstimate() const { + double progress = 0; + double F = 1.0 / nVars(); + + for (int i = 0; i <= decisionLevel(); i++) { + int beg = i == 0 ? 0 : trail_lim[i - 1]; + int end = i == decisionLevel() ? trail.size() : trail_lim[i]; + progress += pow(F, i) * (end - beg); + } + + return progress / nVars(); +} + +void Solver::printIncrementalStats() { + + printf("c---------- Glucose1 Stats -------------------------\n"); + printf("c restarts : %lld\n", starts); + printf("c nb ReduceDB : %lld\n", nbReduceDB); + printf("c nb removed Clauses : %lld\n", nbRemovedClauses); + printf("c nb learnts DL2 : %lld\n", nbDL2); + printf("c nb learnts size 2 : %lld\n", nbBin); + printf("c nb learnts size 1 : %lld\n", nbUn); + + printf("c conflicts : %lld \n", conflicts); + printf("c decisions : %lld\n", decisions); + printf("c propagations : %lld\n", propagations); + + printf("c SAT Calls : %d in %g seconds\n", nbSatCalls, + totalTime4Sat); + printf("c UNSAT Calls : %d in %g seconds\n", nbUnsatCalls, + totalTime4Unsat); + printf("c--------------------------------------------------\n"); +} + +// NOTE: assumptions passed in member-variable 'assumptions'. +lbool Solver::solve_() { + + if (incremental && certifiedUNSAT) { + printf("Can not use incremental and certified unsat in the same time\n"); + exit(-1); + } + model.clear(); + conflict.clear(); + if (!ok) + return l_False; + double curTime = cpuTime(); + + solves++; + + lbool status = l_Undef; + if (!incremental && verbosity >= 1) { + printf("c ========================================[ MAGIC CONSTANTS " + "]==============================================\n"); + printf("c | Constants are supposed to work well together :-) " + " |\n"); + printf("c | however, if you find better choices, please let us known... " + " |\n"); + printf("c " + "|------------------------------------------------------------------" + "-------------------------------------|\n"); + printf("c | | " + " | |\n"); + printf("c | - Restarts: | - Reduce Clause DB: " + " | - Minimize Asserting: |\n"); + printf("c | * LBD Queue : %6d | * First : %6d | " + "* size < %3d |\n", + lbdQueue.maxSize(), nbclausesbeforereduce, lbSizeMinimizingClause); + printf("c | * Trail Queue : %6d | * Inc : %6d | " + "* lbd < %3d |\n", + trailQueue.maxSize(), incReduceDB, lbLBDMinimizingClause); + printf("c | * K : %6.2f | * Special : %6d | " + " |\n", + K, specialIncReduceDB); + printf("c | * R : %6.2f | * Protected : (lbd)< %2d " + " | |\n", + R, lbLBDFrozenClause); + printf("c | | " + " | |\n"); + printf("c ==================================[ Search Statistics (every %6d " + "conflicts) ]=========================\n", + verbEveryConflicts); + printf("c | " + " |\n"); + + printf("c | RESTARTS | ORIGINAL | " + " LEARNT | Progress |\n"); + printf("c | NB Blocked Avg Cfc | Vars Clauses Literals | " + "Red Learnts LBD2 Removed | |\n"); + printf("c " + "===================================================================" + "======================================\n"); + } + + // Search: + int curr_restarts = 0; + while (status == l_Undef) { + status = search( + 0); // the parameter is useless in Glucose1, kept to allow modifications + + if (!withinBudget()) + break; + curr_restarts++; + } + + if (!incremental && verbosity >= 1) + printf("c " + "===================================================================" + "======================================\n"); + + if (certifiedUNSAT) { // Want certified output + if (status == l_False) + fprintf(certifiedOutput, "0\n"); + fclose(certifiedOutput); + } + + if (status == l_True) { + // Extend & copy model: + model.growTo(nVars()); + for (int i = 0; i < nVars(); i++) + model[i] = value(i); + } else if (status == l_False && conflict.size() == 0) + ok = false; + + cancelUntil(0); + + double finalTime = cpuTime(); + if (status == l_True) { + nbSatCalls++; + totalTime4Sat += (finalTime - curTime); + } + if (status == l_False) { + nbUnsatCalls++; + totalTime4Unsat += (finalTime - curTime); + } + + return status; +} + +//================================================================================================= +// Writing CNF to DIMACS: +// +// FIXME: this needs to be rewritten completely. + +static Var mapVar(Var x, vec &map, Var &max) { + if (map.size() <= x || map[x] == -1) { + map.growTo(x + 1, -1); + map[x] = max++; + } + return map[x]; +} + +void Solver::toDimacs(FILE *f, Clause &c, vec &map, Var &max) { + if (satisfied(c)) + return; + + for (int i = 0; i < c.size(); i++) + if (value(c[i]) != l_False) + fprintf(f, "%s%d ", sign(c[i]) ? "-" : "", + mapVar(var(c[i]), map, max) + 1); + fprintf(f, "0\n"); +} + +void Solver::toDimacs(const char *file, const vec &assumps) { + FILE *f = fopen(file, "wr"); + if (f == NULL) + fprintf(stderr, "could not open file %s\n", file), exit(1); + toDimacs(f, assumps); + fclose(f); +} + +void Solver::toDimacs(FILE *f, const vec &assumps) { + // Handle case when solver is in contradictory state: + if (!ok) { + fprintf(f, "p cnf 1 2\n1 0\n-1 0\n"); + return; + } + + vec map; + Var max = 0; + + // Cannot use removeClauses here because it is not safe + // to deallocate them at this point. Could be improved. + int cnt = 0; + for (int i = 0; i < clauses.size(); i++) + if (!satisfied(ca[clauses[i]])) + cnt++; + + for (int i = 0; i < clauses.size(); i++) + if (!satisfied(ca[clauses[i]])) { + Clause &c = ca[clauses[i]]; + for (int j = 0; j < c.size(); j++) + if (value(c[j]) != l_False) + mapVar(var(c[j]), map, max); + } + + // Assumptions are added as unit clauses: + cnt += assumptions.size(); + + fprintf(f, "p cnf %d %d\n", max, cnt); + + for (int i = 0; i < assumptions.size(); i++) { + assert(value(assumptions[i]) != l_False); + fprintf(f, "%s%d 0\n", sign(assumptions[i]) ? "-" : "", + mapVar(var(assumptions[i]), map, max) + 1); + } + + for (int i = 0; i < clauses.size(); i++) + toDimacs(f, ca[clauses[i]], map, max); + + if (verbosity > 0) + printf("Wrote %d clauses with %d variables.\n", cnt, max); +} + +//================================================================================================= +// Garbage Collection methods: + +void Solver::relocAll(ClauseAllocator &to) { + // All watchers: + // + // for (int i = 0; i < watches.size(); i++) + watches.cleanAll(); + watchesBin.cleanAll(); + for (int v = 0; v < nVars(); v++) + for (int s = 0; s < 2; s++) { + Lit p = mkLit(v, s); + // printf(" >>> RELOCING: %s%d\n", sign(p)?"-":"", var(p)+1); + vec &ws = watches[p]; + for (int j = 0; j < ws.size(); j++) + ca.reloc(ws[j].cref, to); + vec &ws2 = watchesBin[p]; + for (int j = 0; j < ws2.size(); j++) + ca.reloc(ws2[j].cref, to); + } + + // All reasons: + // + for (int i = 0; i < trail.size(); i++) { + Var v = var(trail[i]); + + if (reason(v) != CRef_Undef && + (ca[reason(v)].reloced() || locked(ca[reason(v)]))) + ca.reloc(vardata[v].reason, to); + } + + // All learnt: + // + for (int i = 0; i < learnts.size(); i++) + ca.reloc(learnts[i], to); + + // All original: + // + for (int i = 0; i < clauses.size(); i++) + ca.reloc(clauses[i], to); +} + +void Solver::garbageCollect() { + // Initialize the next region to a size corresponding to the estimated + // utilization degree. This is not precise but should avoid some unnecessary + // reallocations for the new region: + ClauseAllocator to(ca.size() - ca.wasted()); + + relocAll(to); + if (verbosity >= 2) + printf("| Garbage collection: %12d bytes => %12d bytes |\n", + ca.size() * ClauseAllocator::Unit_Size, + to.size() * ClauseAllocator::Unit_Size); + to.moveTo(ca); +} diff --git a/3rdParty/GPMC/core/Solver.h b/3rdParty/GPMC/core/Solver.h new file mode 100644 index 00000000..2b9fb1c0 --- /dev/null +++ b/3rdParty/GPMC/core/Solver.h @@ -0,0 +1,476 @@ +/****************************************************************************************[Solver.h] + Glucose1 -- Copyright (c) 2009, Gilles Audemard, Laurent Simon + CRIL - Univ. Artois, France + LRI - Univ. Paris Sud, France + +Glucose1 sources are based on MiniSat (see below MiniSat copyrights). Permissions and copyrights of +Glucose1 are exactly the same as Minisat on which it is based on. (see below). + +--------------- +Copyright (c) 2003-2006, Niklas Een, Niklas Sorensson +Copyright (c) 2007-2010, Niklas Sorensson + +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 Glucose1_Solver_h +#define Glucose1_Solver_h + +#include "mtl/Vec.h" +#include "mtl/Heap.h" +#include "mtl/Alg.h" +#include "utils/Options.h" +#include "core/SolverTypes.h" +#include "core/BoundedQueue.h" +#include "core/Constants.h" + + +namespace Glucose1 { + +//================================================================================================= +// Solver -- the main class: + +class Solver { +public: + + // Constructor/Destructor: + // + Solver(); + virtual ~Solver(); + + // Problem specification: + // + Var newVar (bool polarity = true, bool dvar = true); // Add a new variable with parameters specifying variable mode. + + bool addClause (const vec& ps); // Add a clause to the solver. + bool addEmptyClause(); // Add the empty clause, making the solver contradictory. + bool addClause (Lit p); // Add a unit clause to the solver. + bool addClause (Lit p, Lit q); // Add a binary clause to the solver. + bool addClause (Lit p, Lit q, Lit r); // Add a ternary clause to the solver. + bool addClause_( vec& ps); // Add a clause to the solver without making superflous internal copy. Will + // change the passed vector 'ps'. + + // Solving: + // + bool simplify (); // Removes already satisfied clauses. + bool solve (const vec& assumps); // Search for a model that respects a given set of assumptions. + lbool solveLimited (const vec& assumps); // Search for a model that respects a given set of assumptions (With resource constraints). + bool solve (); // Search without assumptions. + bool solve (Lit p); // Search for a model that respects a single assumption. + bool solve (Lit p, Lit q); // Search for a model that respects two assumptions. + bool solve (Lit p, Lit q, Lit r); // Search for a model that respects three assumptions. + bool okay () const; // FALSE means solver is in a conflicting state + + void toDimacs (FILE* f, const vec& assumps); // Write CNF to file in DIMACS-format. + void toDimacs (const char *file, const vec& assumps); + void toDimacs (FILE* f, Clause& c, vec& map, Var& max); + void printLit(Lit l); + void printClause(CRef c); + void printInitialClause(CRef c); + // Convenience versions of 'toDimacs()': + void toDimacs (const char* file); + void toDimacs (const char* file, Lit p); + void toDimacs (const char* file, Lit p, Lit q); + void toDimacs (const char* file, Lit p, Lit q, Lit r); + + // Variable mode: + // + void setPolarity (Var v, bool b); // Declare which polarity the decision heuristic should use for a variable. Requires mode 'polarity_user'. + void setDecisionVar (Var v, bool b); // Declare if a variable should be eligible for selection in the decision heuristic. + + // Read state: + // + lbool value (Var x) const; // The current value of a variable. + lbool value (Lit p) const; // The current value of a literal. + lbool modelValue (Var x) const; // The value of a variable in the last model. The last call to solve must have been satisfiable. + lbool modelValue (Lit p) const; // The value of a literal in the last model. The last call to solve must have been satisfiable. + int nAssigns () const; // The current number of assigned literals. + int nClauses () const; // The current number of original clauses. + int nLearnts () const; // The current number of learnt clauses. + int nVars () const; // The current number of variables. + int nFreeVars () const; + + // Incremental mode + void setIncrementalMode(); + void initNbInitialVars(int nb); + void printIncrementalStats(); + + // Resource contraints: + // + void setConfBudget(int64_t x); + void setPropBudget(int64_t x); + void budgetOff(); + void interrupt(); // Trigger a (potentially asynchronous) interruption of the solver. + void clearInterrupt(); // Clear interrupt indicator flag. + + // Memory managment: + // + virtual void garbageCollect(); + void checkGarbage(double gf); + void checkGarbage(); + + + + + // Extra results: (read-only member variable) + // + vec model; // If problem is satisfiable, this vector contains the model (if any). + vec conflict; // If problem is unsatisfiable (possibly under assumptions), + // this vector represent the final conflict clause expressed in the assumptions. + + // Mode of operation: + // + int verbosity; + int verbEveryConflicts; + int showModel; + // Constants For restarts + double K; + double R; + double sizeLBDQueue; + double sizeTrailQueue; + + // Constants for reduce DB + int firstReduceDB; + int incReduceDB; + int specialIncReduceDB; + unsigned int lbLBDFrozenClause; + + // Constant for reducing clause + int lbSizeMinimizingClause; + unsigned int lbLBDMinimizingClause; + + double var_decay; + double clause_decay; + double random_var_freq; + double random_seed; + int ccmin_mode; // Controls conflict clause minimization (0=none, 1=basic, 2=deep). + int phase_saving; // Controls the level of phase saving (0=none, 1=limited, 2=full). + bool rnd_pol; // Use random polarities for branching heuristics. + bool rnd_init_act; // Initialize variable activities with a small random value. + double garbage_frac; // The fraction of wasted memory allowed before a garbage collection is triggered. + + // Certified UNSAT ( Thanks to Marijn Heule) + FILE* certifiedOutput; + bool certifiedUNSAT; + + + // Statistics: (read-only member variable) + // + uint64_t nbRemovedClauses,nbReducedClauses,nbDL2,nbBin,nbUn,nbReduceDB,solves, starts, decisions, rnd_decisions, propagations, conflicts,conflictsRestarts,nbstopsrestarts,nbstopsrestartssame,lastblockatrestart; + uint64_t dec_vars, clauses_literals, learnts_literals, max_literals, tot_literals; + +protected: + long curRestart; + // Helper structures: + // + struct VarData { CRef reason; int level; }; + static inline VarData mkVarData(CRef cr, int l){ VarData d = {cr, l}; return d; } + + struct Watcher { + CRef cref; + Lit blocker; + Watcher(CRef cr, Lit p) : cref(cr), blocker(p) {} + bool operator==(const Watcher& w) const { return cref == w.cref; } + bool operator!=(const Watcher& w) const { return cref != w.cref; } + }; + + struct WatcherDeleted + { + const ClauseAllocator& ca; + WatcherDeleted(const ClauseAllocator& _ca) : ca(_ca) {} + bool operator()(const Watcher& w) const { return ca[w.cref].mark() == 1; } + }; + + struct VarOrderLt { + const vec& activity; + bool operator () (Var x, Var y) const { return activity[x] > activity[y]; } + VarOrderLt(const vec& act) : activity(act) { } + }; + + + // Solver state: + // + int lastIndexRed; + bool ok; // If FALSE, the constraints are already unsatisfiable. No part of the solver state may be used! + double cla_inc; // Amount to bump next clause with. + vec activity; // A heuristic measurement of the activity of a variable. + double var_inc; // Amount to bump next variable with. + OccLists, WatcherDeleted> + watches; // 'watches[lit]' is a list of constraints watching 'lit' (will go there if literal becomes true). + OccLists, WatcherDeleted> + watchesBin; // 'watches[lit]' is a list of constraints watching 'lit' (will go there if literal becomes true). + vec clauses; // List of problem clauses. + vec learnts; // List of learnt clauses. + + vec assigns; // The current assignments. + vec polarity; // The preferred polarity of each variable. + vec decision; // Declares if a variable is eligible for selection in the decision heuristic. + vec trail; // Assignment stack; stores all assigments made in the order they were made. + vec nbpos; + vec trail_lim; // Separator indices for different decision levels in 'trail'. + vec vardata; // Stores reason and level for each variable. + int qhead; // Head of queue (as index into the trail -- no more explicit propagation queue in MiniSat). + int simpDB_assigns; // Number of top-level assignments since last execution of 'simplify()'. + int64_t simpDB_props; // Remaining number of propagations that must be made before next execution of 'simplify()'. + vec assumptions; // Current set of assumptions provided to solve by the user. + Heap order_heap; // A priority queue of variables ordered with respect to the variable activity. + double progress_estimate;// Set by 'search()'. + bool remove_satisfied; // Indicates whether possibly inefficient linear scan for satisfied clauses should be performed in 'simplify'. + vec permDiff; // permDiff[var] contains the current conflict number... Used to count the number of LBD + +#ifdef UPDATEVARACTIVITY + // UPDATEVARACTIVITY trick (see competition'09 companion paper) + vec lastDecisionLevel; +#endif + + ClauseAllocator ca; + + int nbclausesbeforereduce; // To know when it is time to reduce clause database + + bqueue trailQueue,lbdQueue; // Bounded queues for restarts. + float sumLBD; // used to compute the global average of LBD. Restarts... + int sumAssumptions; + + + // Temporaries (to reduce allocation overhead). Each variable is prefixed by the method in which it is + // used, exept 'seen' wich is used in several places. + // + vec seen; + vec analyze_stack; + vec analyze_toclear; + vec add_tmp; + unsigned int MYFLAG; + + + double max_learnts; + double learntsize_adjust_confl; + int learntsize_adjust_cnt; + + // Resource contraints: + // + int64_t conflict_budget; // -1 means no budget. + int64_t propagation_budget; // -1 means no budget. + bool asynch_interrupt; + + + // Variables added for incremental mode + int incremental; // Use incremental SAT Solver + int nbVarsInitialFormula; // nb VAR in formula without assumptions (incremental SAT) + double totalTime4Sat,totalTime4Unsat; + int nbSatCalls,nbUnsatCalls; + vec assumptionPositions,initialPositions; + + + // Main internal methods: + // + void insertVarOrder (Var x); // Insert a variable in the decision order priority queue. + Lit pickBranchLit (); // Return the next decision variable. + void newDecisionLevel (); // Begins a new decision level. + void uncheckedEnqueue (Lit p, CRef from = CRef_Undef); // Enqueue a literal. Assumes value of literal is undefined. + bool enqueue (Lit p, CRef from = CRef_Undef); // Test if fact 'p' contradicts current state, enqueue otherwise. + CRef propagate (); // Perform unit propagation. Returns possibly conflicting clause. + void cancelUntil (int level); // Backtrack until a certain level. + void analyze (CRef confl, vec& out_learnt, vec & selectors, int& out_btlevel,unsigned int &nblevels,unsigned int &szWithoutSelectors); // (bt = backtrack) + void analyzeFinal (Lit p, vec& out_conflict); // COULD THIS BE IMPLEMENTED BY THE ORDINARIY "analyze" BY SOME REASONABLE GENERALIZATION? + bool litRedundant (Lit p, uint32_t abstract_levels); // (helper method for 'analyze()') + lbool search (int nof_conflicts); // Search for a given number of conflicts. + lbool solve_ (); // Main solve method (assumptions given in 'assumptions'). + void reduceDB (); // Reduce the set of learnt clauses. + void removeSatisfied (vec& cs); // Shrink 'cs' to contain only non-satisfied clauses. + void rebuildOrderHeap (); + + // Maintaining Variable/Clause activity: + // + void varDecayActivity (); // Decay all variables with the specified factor. Implemented by increasing the 'bump' value instead. + void varBumpActivity (Var v, double inc); // Increase a variable with the current 'bump' value. + void varBumpActivity (Var v); // Increase a variable with the current 'bump' value. + void claDecayActivity (); // Decay all clauses with the specified factor. Implemented by increasing the 'bump' value instead. + void claBumpActivity (Clause& c); // Increase a clause with the current 'bump' value. + + // Operations on clauses: + // + void attachClause (CRef cr); // Attach a clause to watcher lists. + void detachClause (CRef cr, bool strict = false); // Detach a clause to watcher lists. + void removeClause (CRef cr); // Detach and free a clause. + bool locked (const Clause& c) const; // Returns TRUE if a clause is a reason for some implication in the current state. + bool satisfied (const Clause& c) const; // Returns TRUE if a clause is satisfied in the current state. + + unsigned int computeLBD(const vec & lits,int end=-1); + unsigned int computeLBD(const Clause &c); + void minimisationWithBinaryResolution(vec &out_learnt); + + void relocAll (ClauseAllocator& to); + + // Misc: + // + int decisionLevel () const; // Gives the current decisionlevel. + uint32_t abstractLevel (Var x) const; // Used to represent an abstraction of sets of decision levels. + CRef reason (Var x) const; + int level (Var x) const; + double progressEstimate () const; // DELETE THIS ?? IT'S NOT VERY USEFUL ... + bool withinBudget () const; + inline bool isSelector(Var v) {return (incremental && v>nbVarsInitialFormula);} + + // Static helpers: + // + + // Returns a random float 0 <= x < 1. Seed must never be 0. + static inline double drand(double& seed) { + seed *= 1389796; + int q = (int)(seed / 2147483647); + seed -= (double)q * 2147483647; + return seed / 2147483647; } + + // Returns a random integer 0 <= x < size. Seed must never be 0. + static inline int irand(double& seed, int size) { + return (int)(drand(seed) * size); } +}; + + +//================================================================================================= +// Implementation of inline methods: + +inline CRef Solver::reason(Var x) const { return vardata[x].reason; } +inline int Solver::level (Var x) const { return vardata[x].level; } + +inline void Solver::insertVarOrder(Var x) { + if (!order_heap.inHeap(x) && decision[x]) order_heap.insert(x); } + +inline void Solver::varDecayActivity() { var_inc *= (1 / var_decay); } +inline void Solver::varBumpActivity(Var v) { varBumpActivity(v, var_inc); } +inline void Solver::varBumpActivity(Var v, double inc) { + if ( (activity[v] += inc) > 1e100 ) { + // Rescale: + for (int i = 0; i < nVars(); i++) + activity[i] *= 1e-100; + var_inc *= 1e-100; } + + // Update order_heap with respect to new activity: + if (order_heap.inHeap(v)) + order_heap.decrease(v); } + +inline void Solver::claDecayActivity() { cla_inc *= (1 / clause_decay); } +inline void Solver::claBumpActivity (Clause& c) { + if ( (c.activity() += cla_inc) > 1e20 ) { + // Rescale: + for (int i = 0; i < learnts.size(); i++) + ca[learnts[i]].activity() *= 1e-20; + cla_inc *= 1e-20; } } + +inline void Solver::checkGarbage(void){ return checkGarbage(garbage_frac); } +inline void Solver::checkGarbage(double gf){ + if (ca.wasted() > ca.size() * gf) + garbageCollect(); } + +// NOTE: enqueue does not set the ok flag! (only public methods do) +inline bool Solver::enqueue (Lit p, CRef from) { return value(p) != l_Undef ? value(p) != l_False : (uncheckedEnqueue(p, from), true); } +inline bool Solver::addClause (const vec& ps) { ps.copyTo(add_tmp); return addClause_(add_tmp); } +inline bool Solver::addEmptyClause () { add_tmp.clear(); return addClause_(add_tmp); } +inline bool Solver::addClause (Lit p) { add_tmp.clear(); add_tmp.push(p); return addClause_(add_tmp); } +inline bool Solver::addClause (Lit p, Lit q) { add_tmp.clear(); add_tmp.push(p); add_tmp.push(q); return addClause_(add_tmp); } +inline bool Solver::addClause (Lit p, Lit q, Lit r) { add_tmp.clear(); add_tmp.push(p); add_tmp.push(q); add_tmp.push(r); return addClause_(add_tmp); } + inline bool Solver::locked (const Clause& c) const { + if(c.size()>2) + return value(c[0]) == l_True && reason(var(c[0])) != CRef_Undef && ca.lea(reason(var(c[0]))) == &c; + return + (value(c[0]) == l_True && reason(var(c[0])) != CRef_Undef && ca.lea(reason(var(c[0]))) == &c) + || + (value(c[1]) == l_True && reason(var(c[1])) != CRef_Undef && ca.lea(reason(var(c[1]))) == &c); + } +inline void Solver::newDecisionLevel() { trail_lim.push(trail.size()); } + +inline int Solver::decisionLevel () const { return trail_lim.size(); } +inline uint32_t Solver::abstractLevel (Var x) const { return 1 << (level(x) & 31); } +inline lbool Solver::value (Var x) const { return assigns[x]; } +inline lbool Solver::value (Lit p) const { return assigns[var(p)] ^ sign(p); } +inline lbool Solver::modelValue (Var x) const { return model[x]; } +inline lbool Solver::modelValue (Lit p) const { return model[var(p)] ^ sign(p); } +inline int Solver::nAssigns () const { return trail.size(); } +inline int Solver::nClauses () const { return clauses.size(); } +inline int Solver::nLearnts () const { return learnts.size(); } +inline int Solver::nVars () const { return vardata.size(); } +inline int Solver::nFreeVars () const { return (int)dec_vars - (trail_lim.size() == 0 ? trail.size() : trail_lim[0]); } +inline void Solver::setPolarity (Var v, bool b) { polarity[v] = b; } +inline void Solver::setDecisionVar(Var v, bool b) +{ + if ( b && !decision[v]) dec_vars++; + else if (!b && decision[v]) dec_vars--; + + decision[v] = b; + insertVarOrder(v); +} +inline void Solver::setConfBudget(int64_t x){ conflict_budget = conflicts + x; } +inline void Solver::setPropBudget(int64_t x){ propagation_budget = propagations + x; } +inline void Solver::interrupt(){ asynch_interrupt = true; } +inline void Solver::clearInterrupt(){ asynch_interrupt = false; } +inline void Solver::budgetOff(){ conflict_budget = propagation_budget = -1; } +inline bool Solver::withinBudget() const { + return !asynch_interrupt && + (conflict_budget < 0 || conflicts < (uint64_t)conflict_budget) && + (propagation_budget < 0 || propagations < (uint64_t)propagation_budget); } + +// FIXME: after the introduction of asynchronous interrruptions the solve-versions that return a +// pure bool do not give a safe interface. Either interrupts must be possible to turn off here, or +// all calls to solve must return an 'lbool'. I'm not yet sure which I prefer. +inline bool Solver::solve () { budgetOff(); assumptions.clear(); return solve_() == l_True; } +inline bool Solver::solve (Lit p) { budgetOff(); assumptions.clear(); assumptions.push(p); return solve_() == l_True; } +inline bool Solver::solve (Lit p, Lit q) { budgetOff(); assumptions.clear(); assumptions.push(p); assumptions.push(q); return solve_() == l_True; } +inline bool Solver::solve (Lit p, Lit q, Lit r) { budgetOff(); assumptions.clear(); assumptions.push(p); assumptions.push(q); assumptions.push(r); return solve_() == l_True; } +inline bool Solver::solve (const vec& assumps){ budgetOff(); assumps.copyTo(assumptions); return solve_() == l_True; } +inline lbool Solver::solveLimited (const vec& assumps){ assumps.copyTo(assumptions); return solve_(); } +inline bool Solver::okay () const { return ok; } + +inline void Solver::toDimacs (const char* file){ vec as; toDimacs(file, as); } +inline void Solver::toDimacs (const char* file, Lit p){ vec as; as.push(p); toDimacs(file, as); } +inline void Solver::toDimacs (const char* file, Lit p, Lit q){ vec as; as.push(p); as.push(q); toDimacs(file, as); } +inline void Solver::toDimacs (const char* file, Lit p, Lit q, Lit r){ vec as; as.push(p); as.push(q); as.push(r); toDimacs(file, as); } + + +//================================================================================================= +// Debug etc: + + +inline void Solver::printLit(Lit l) +{ + printf("%s%d:%c", sign(l) ? "-" : "", var(l)+1, value(l) == l_True ? '1' : (value(l) == l_False ? '0' : 'X')); +} + + +inline void Solver::printClause(CRef cr) +{ + Clause &c = ca[cr]; + for (int i = 0; i < c.size(); i++){ + printLit(c[i]); + printf(" "); + } +} + +inline void Solver::printInitialClause(CRef cr) +{ + Clause &c = ca[cr]; + for (int i = 0; i < c.size(); i++){ + if(!isSelector(var(c[i]))) { + printLit(c[i]); + printf(" "); + } + } +} + + +//================================================================================================= +} + +#endif diff --git a/3rdParty/GPMC/core/SolverTypes.h b/3rdParty/GPMC/core/SolverTypes.h new file mode 100644 index 00000000..45694abe --- /dev/null +++ b/3rdParty/GPMC/core/SolverTypes.h @@ -0,0 +1,438 @@ +/***********************************************************************************[SolverTypes.h] + Glucose1 -- Copyright (c) 2009, Gilles Audemard, Laurent Simon + CRIL - Univ. Artois, France + LRI - Univ. Paris Sud, France + +Glucose1 sources are based on MiniSat (see below MiniSat copyrights). Permissions and copyrights of +Glucose1 are exactly the same as Minisat on which it is based on. (see below). + +--------------- +Copyright (c) 2003-2006, Niklas Een, Niklas Sorensson +Copyright (c) 2007-2010, Niklas Sorensson + +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 Glucose1_SolverTypes_h +#define Glucose1_SolverTypes_h + +#include + +#include "mtl/IntTypes.h" +#include "mtl/Alg.h" +#include "mtl/Vec.h" +#include "mtl/Map.h" +#include "mtl/Alloc.h" + +namespace Glucose1 { + +//================================================================================================= +// Variables, literals, lifted booleans, clauses: + + +// NOTE! Variables are just integers. No abstraction here. They should be chosen from 0..N, +// so that they can be used as array indices. + +typedef int Var; +constexpr Var var_Undef = (-1); + + +struct Lit { + int x; + + // Use this as a constructor: + friend Lit mkLit(Var var, bool sign); + + bool operator == (Lit p) const { return x == p.x; } + bool operator != (Lit p) const { return x != p.x; } + bool operator < (Lit p) const { return x < p.x; } // '<' makes p, ~p adjacent in the ordering. +}; + + +inline Lit mkLit (Var var, bool sign=false) { Lit p; p.x = var + var + (int)sign; return p; } +inline Lit operator ~(Lit p) { Lit q; q.x = p.x ^ 1; return q; } +inline Lit operator ^(Lit p, bool b) { Lit q; q.x = p.x ^ (unsigned int)b; return q; } +inline bool sign (Lit p) { return p.x & 1; } +inline int var (Lit p) { return p.x >> 1; } + +// Mapping Literals to and from compact integers suitable for array indexing: +inline int toInt (Var v) { return v; } +inline int toInt (Lit p) { return p.x; } +inline Lit toLit (int i) { Lit p; p.x = i; return p; } + +//const Lit lit_Undef = mkLit(var_Undef, false); // }- Useful special constants. +//const Lit lit_Error = mkLit(var_Undef, true ); // } + +const Lit lit_Undef = { -2 }; // }- Useful special constants. +const Lit lit_Error = { -1 }; // } + + +//================================================================================================= +// Lifted booleans: +// +// NOTE: this implementation is optimized for the case when comparisons between values are mostly +// between one variable and one constant. Some care had to be taken to make sure that gcc +// does enough constant propagation to produce sensible code, and this appears to be somewhat +// fragile unfortunately. + +class lbool { + uint8_t value; + +public: + constexpr explicit lbool(uint8_t v) : value(v) { } + + lbool() : value(0) { } + explicit lbool(bool x) : value(!x) { } + + bool operator == (lbool b) const { return ((b.value&2) & (value&2)) | (!(b.value&2)&(value == b.value)); } + bool operator != (lbool b) const { return !(*this == b); } + lbool operator ^ (bool b) const { return lbool((uint8_t)(value^(uint8_t)b)); } + + lbool operator && (lbool b) const { + uint8_t sel = (this->value << 1) | (b.value << 3); + uint8_t v = (0xF7F755F4 >> sel) & 3; + return lbool(v); } + + lbool operator || (lbool b) const { + uint8_t sel = (this->value << 1) | (b.value << 3); + uint8_t v = (0xFCFCF400 >> sel) & 3; + return lbool(v); } + + friend int toInt (lbool l); + friend lbool toLbool(int v); +}; + +constexpr Glucose1::lbool l_True = +(Glucose1::lbool((uint8_t)0)); // gcc does not do constant propagation if these are real constants. + // +constexpr auto l_False = (Glucose1::lbool((uint8_t)1)); +constexpr auto l_Undef = (Glucose1::lbool((uint8_t)2)); + +inline int toInt (lbool l) { return l.value; } +inline lbool toLbool(int v) { return lbool((uint8_t)v); } + +//================================================================================================= +// Clause -- a simple class for representing a clause: + +class Clause; +typedef RegionAllocator::Ref CRef; + +class Clause { + struct { + unsigned mark : 2; + unsigned learnt : 1; + unsigned has_extra : 1; + unsigned reloced : 1; + unsigned lbd : 26; + unsigned canbedel : 1; + unsigned size : 32; + unsigned szWithoutSelectors : 32; + + } header; + union { Lit lit; float act; uint32_t abs; CRef rel; } data[0]; + + friend class ClauseAllocator; + + // NOTE: This constructor cannot be used directly (doesn't allocate enough memory). + template + Clause(const V& ps, bool use_extra, bool learnt) { + header.mark = 0; + header.learnt = learnt; + header.has_extra = use_extra; + header.reloced = 0; + header.size = ps.size(); + header.lbd = 0; + header.canbedel = 1; + for (int i = 0; i < ps.size(); i++) + data[i].lit = ps[i]; + + if (header.has_extra){ + if (header.learnt) + data[header.size].act = 0; + else + calcAbstraction(); } + } + +public: + void calcAbstraction() { + assert(header.has_extra); + uint32_t abstraction = 0; + for (int i = 0; i < size(); i++) + abstraction |= 1 << (var(data[i].lit) & 31); + data[header.size].abs = abstraction; } + + + int size () const { return header.size; } + void shrink (int i) { assert(i <= size()); if (header.has_extra) data[header.size-i] = data[header.size]; header.size -= i; } + void pop () { shrink(1); } + bool learnt () const { return header.learnt; } + bool has_extra () const { return header.has_extra; } + uint32_t mark () const { return header.mark; } + void mark (uint32_t m) { header.mark = m; } + const Lit& last () const { return data[header.size-1].lit; } + + bool reloced () const { return header.reloced; } + CRef relocation () const { return data[0].rel; } + void relocate (CRef c) { header.reloced = 1; data[0].rel = c; } + + // NOTE: somewhat unsafe to change the clause in-place! Must manually call 'calcAbstraction' afterwards for + // subsumption operations to behave correctly. + Lit& operator [] (int i) { return data[i].lit; } + Lit operator [] (int i) const { return data[i].lit; } + operator const Lit* (void) const { return (Lit*)data; } + + float& activity () { assert(header.has_extra); return data[header.size].act; } + uint32_t abstraction () const { assert(header.has_extra); return data[header.size].abs; } + + Lit subsumes (const Clause& other) const; + void strengthen (Lit p); + void setLBD(int i) {header.lbd = i;} + // unsigned int& lbd () { return header.lbd; } + unsigned int lbd () const { return header.lbd; } + void setCanBeDel(bool b) {header.canbedel = b;} + bool canBeDel() {return header.canbedel;} + void setSizeWithoutSelectors (unsigned int n) {header.szWithoutSelectors = n; } + unsigned int sizeWithoutSelectors () const { return header.szWithoutSelectors; } + +}; + + +//================================================================================================= +// ClauseAllocator -- a simple class for allocating memory for clauses: + + +const CRef CRef_Undef = RegionAllocator::Ref_Undef; +class ClauseAllocator : public RegionAllocator +{ + static int clauseWord32Size(int size, bool has_extra){ + return (sizeof(Clause) + (sizeof(Lit) * (size + (int)has_extra))) / sizeof(uint32_t); } + public: + bool extra_clause_field; + + ClauseAllocator(uint32_t start_cap) : RegionAllocator(start_cap), extra_clause_field(false){} + ClauseAllocator() : extra_clause_field(false){} + + void moveTo(ClauseAllocator& to){ + to.extra_clause_field = extra_clause_field; + RegionAllocator::moveTo(to); } + + template + CRef alloc(const Lits& ps, bool learnt = false) + { + assert(sizeof(Lit) == sizeof(uint32_t)); + assert(sizeof(float) == sizeof(uint32_t)); + bool use_extra = learnt | extra_clause_field; + + CRef cid = RegionAllocator::alloc(clauseWord32Size(ps.size(), use_extra)); + new (lea(cid)) Clause(ps, use_extra, learnt); + + return cid; + } + + // Deref, Load Effective Address (LEA), Inverse of LEA (AEL): + Clause& operator[](Ref r) { return (Clause&)RegionAllocator::operator[](r); } + const Clause& operator[](Ref r) const { return (Clause&)RegionAllocator::operator[](r); } + Clause* lea (Ref r) { return (Clause*)RegionAllocator::lea(r); } + const Clause* lea (Ref r) const { return (Clause*)RegionAllocator::lea(r); } + Ref ael (const Clause* t){ return RegionAllocator::ael((uint32_t*)t); } + + void free(CRef cid) + { + Clause& c = operator[](cid); + RegionAllocator::free(clauseWord32Size(c.size(), c.has_extra())); + } + + void reloc(CRef& cr, ClauseAllocator& to) + { + Clause& c = operator[](cr); + + if (c.reloced()) { cr = c.relocation(); return; } + + cr = to.alloc(c, c.learnt()); + c.relocate(cr); + + // Copy extra data-fields: + // (This could be cleaned-up. Generalize Clause-constructor to be applicable here instead?) + to[cr].mark(c.mark()); + if (to[cr].learnt()) { + to[cr].activity() = c.activity(); + to[cr].setLBD(c.lbd()); + to[cr].setSizeWithoutSelectors(c.sizeWithoutSelectors()); + to[cr].setCanBeDel(c.canBeDel()); + } + else if (to[cr].has_extra()) to[cr].calcAbstraction(); + } +}; + + +//================================================================================================= +// OccLists -- a class for maintaining occurence lists with lazy deletion: + +template +class OccLists +{ + vec occs; + vec dirty; + vec dirties; + Deleted deleted; + + public: + OccLists(const Deleted& d) : deleted(d) {} + + void init (const Idx& idx){ occs.growTo(toInt(idx)+1); dirty.growTo(toInt(idx)+1, 0); } + // Vec& operator[](const Idx& idx){ return occs[toInt(idx)]; } + Vec& operator[](const Idx& idx){ return occs[toInt(idx)]; } + Vec& lookup (const Idx& idx){ if (dirty[toInt(idx)]) clean(idx); return occs[toInt(idx)]; } + + void cleanAll (); + void clean (const Idx& idx); + void smudge (const Idx& idx){ + if (dirty[toInt(idx)] == 0){ + dirty[toInt(idx)] = 1; + dirties.push(idx); + } + } + + void clear(bool free = true){ + occs .clear(free); + dirty .clear(free); + dirties.clear(free); + } +}; + + +template +void OccLists::cleanAll() +{ + for (int i = 0; i < dirties.size(); i++) + // Dirties may contain duplicates so check here if a variable is already cleaned: + if (dirty[toInt(dirties[i])]) + clean(dirties[i]); + dirties.clear(); +} + + +template +void OccLists::clean(const Idx& idx) +{ + Vec& vec = occs[toInt(idx)]; + int i, j; + for (i = j = 0; i < vec.size(); i++) + if (!deleted(vec[i])) + vec[j++] = vec[i]; + vec.shrink(i - j); + dirty[toInt(idx)] = 0; +} + + +//================================================================================================= +// CMap -- a class for mapping clauses to values: + + +template +class CMap +{ + struct CRefHash { + uint32_t operator()(CRef cr) const { return (uint32_t)cr; } }; + + typedef Map HashTable; + HashTable map; + + public: + // Size-operations: + void clear () { map.clear(); } + int size () const { return map.elems(); } + + + // Insert/Remove/Test mapping: + void insert (CRef cr, const T& t){ map.insert(cr, t); } + void growTo (CRef cr, const T& t){ map.insert(cr, t); } // NOTE: for compatibility + void remove (CRef cr) { map.remove(cr); } + bool has (CRef cr, T& t) { return map.peek(cr, t); } + + // Vector interface (the clause 'c' must already exist): + const T& operator [] (CRef cr) const { return map[cr]; } + T& operator [] (CRef cr) { return map[cr]; } + + // Iteration (not transparent at all at the moment): + int bucket_count() const { return map.bucket_count(); } + const vec& bucket(int i) const { return map.bucket(i); } + + // Move contents to other map: + void moveTo(CMap& other){ map.moveTo(other.map); } + + // TMP debug: + void debug(){ + printf(" --- size = %d, bucket_count = %d\n", size(), map.bucket_count()); } +}; + + +/*_________________________________________________________________________________________________ +| +| subsumes : (other : const Clause&) -> Lit +| +| Description: +| Checks if clause subsumes 'other', and at the same time, if it can be used to simplify 'other' +| by subsumption resolution. +| +| Result: +| lit_Error - No subsumption or simplification +| lit_Undef - Clause subsumes 'other' +| p - The literal p can be deleted from 'other' +|________________________________________________________________________________________________@*/ +inline Lit Clause::subsumes(const Clause& other) const +{ + //if (other.size() < size() || (extra.abst & ~other.extra.abst) != 0) + //if (other.size() < size() || (!learnt() && !other.learnt() && (extra.abst & ~other.extra.abst) != 0)) + assert(!header.learnt); assert(!other.header.learnt); + assert(header.has_extra); assert(other.header.has_extra); + if (other.header.size < header.size || (data[header.size].abs & ~other.data[other.header.size].abs) != 0) + return lit_Error; + + Lit ret = lit_Undef; + const Lit* c = (const Lit*)(*this); + const Lit* d = (const Lit*)other; + + for (unsigned i = 0; i < header.size; i++) { + // search for c[i] or ~c[i] + for (unsigned j = 0; j < other.header.size; j++) + if (c[i] == d[j]) + goto ok; + else if (ret == lit_Undef && c[i] == ~d[j]){ + ret = c[i]; + goto ok; + } + + // did not find it + return lit_Error; + ok:; + } + + return ret; +} + +inline void Clause::strengthen(Lit p) +{ + remove(*this, p); + calcAbstraction(); +} + +//================================================================================================= +} + + +#endif diff --git a/3rdParty/GPMC/core/gpmc.cpp b/3rdParty/GPMC/core/gpmc.cpp new file mode 100644 index 00000000..a3ab9713 --- /dev/null +++ b/3rdParty/GPMC/core/gpmc.cpp @@ -0,0 +1,88 @@ +#include "gpmc.hpp" +#include + +#include "core/Config.h" +#include "core/Counter.h" +#include "core/Dimacs.h" +#include "core/Instance.h" +#include "preprocessor/Preprocessor.h" +#include "utils/Options.h" +#include "utils/ParseUtils.h" +#include "utils/System.h" + +namespace GPMC { +using namespace PPMC; + +bool simplify(std::vector> &clauses, + std::vector& sel, + std::vector> &learnts, int &vars, int &pvars,int &freevars, + std::vector &assigns, std::vector &gmap,bool equiv,bool check) { + + Instance ins; + ins.weighted = false; + ins.projected = vars != pvars; + ins.keepVarMap = true; + ins.vars = vars; + ins.npvars = sel.size(); + ins.ispvars.resize(vars, false); + ins.assigns.resize(vars, l_Undef); + for (auto v:sel) { + ins.pvars.push_back(v-1); + ins.ispvars[v-1] = true; + } + for (auto &cl : clauses) { + std::vector lits(cl.size()); + for (int i = 0; i < cl.size(); i++) { + lits[i] = mkLit(cl[i].var() - 1, cl[i].sign()); + } + ins.addClause(lits, false); + } + if (ins.projected) { + for (auto v : ins.pvars) + ins.gmap.push_back(mkLit(v)); + } else { + for (int i = 0; i < ins.npvars; i++) + ins.gmap.push_back(mkLit(i)); + } + + Configuration config; + config.pp.ve_dve = !equiv; + config.pp.ve_check = check; + Preprocessor preproc; + preproc.setConfig(config.pp); + preproc.Simplify(&ins); + if (ins.unsat) { + return false; + } + std::cout << "Preproc Done! Vars: " << ins.vars << " before " << vars + << " Clauses: " << ins.clauses.size() << " before " + << clauses.size() << " Lerants: " << ins.learnts.size() + << " PVars: " << ins.npvars << " before " << pvars << std::endl; + // ins.writeVarMap(std::cout); + //ins.printVarMapStats(); + //ins.writeVarMap(std::cout); + clauses.clear(); + for (auto cl : ins.clauses) { + clauses.push_back({}); + auto &ncl = clauses.back(); + ncl.resize(cl.size()); + for (auto k = 0; k < cl.size(); k++) { + ncl[k] = d4::Lit::makeLit(var(cl[k]) + 1, sign(cl[k])); + assert(ncl[k].var()>0); + } + } + for (auto cl : ins.learnts) { + learnts.push_back({}); + auto &ncl = learnts.back(); + ncl.resize(cl.size()); + for (auto k = 0; k < cl.size(); k++) { + ncl[k] = d4::Lit::makeLit(var(cl[k]) + 1, sign(cl[k])); + } + } + vars = ins.vars; + pvars = ins.npvars; + freevars = ins.freevars; + return true; +} + +} // namespace GPMC diff --git a/3rdParty/GPMC/ddnnf/DecisionTree.cc b/3rdParty/GPMC/ddnnf/DecisionTree.cc new file mode 100644 index 00000000..07f9f8a6 --- /dev/null +++ b/3rdParty/GPMC/ddnnf/DecisionTree.cc @@ -0,0 +1,351 @@ +#include "DecisionTree.h" + +DTNode topnode(DT_TOP); +DTNode bottomnode(DT_BOT); + +// DTManager +void DTNodeManager::init(int npvars) +{ + NodeIndex p = basicnodes = new DTNode[3*npvars]; + + for(int i=0; ireset(DT_LIT, i+1); p++; + p->reset(DT_LIT, -(i+1)); p++; + } + for(int i=0; ireset(DT_DC, i+1); p++; + } + vars = npvars; + + pool.clear(); + NodeIndex fb = new DTNode[default_blocksize]; + pool.push_back(NodeBlock(fb, default_blocksize)); + poolnodes = default_blocksize; +} +NodeIndex DTNodeManager::newNode(DT_NodeType type, int arg) +{ + NodeIndex p; + + if(recycles.empty()) { + NodeBlock& b = pool.back(); + if(b.isFull()) { + size_t next_blkcap = (poolnodes < max_blocksize) ? poolnodes : max_blocksize; + NodeIndex newp = new DTNode[next_blkcap]; + pool.push_back(NodeBlock(newp, next_blkcap)); + poolnodes += next_blkcap; + p = pool.back().getNode(); + } else { + p = b.getNode(); + } + p->reset(type, arg); + } + else { + p = recycles.front(); + recycles.pop(); + p->reset(type, arg); + } + nodes++; + + return p; +} +void DTNodeManager::removeNode(NodeIndex node) +{ + assert(node != nullptr); + + assert(node->Children().size() == 0 && node->Parents().size() == 0); + + if(node->Type() == DT_LIT) return; + + if(node->Type() != DT_DC) { + recycles.push(node); + } + + nodes--; +} +void DTNodeManager::addEdge(NodeIndex parent, NodeIndex child) +{ + parent->addChild(child); + child->addParent(parent); + edges++; +} +void DTNodeManager::delEdge(NodeIndex parent, NodeIndex child) +{ + parent->delChild(child); + child->delParent(parent); + edges--; +} +void DTNodeManager::deleteNodes(NodeIndex node) +{ + if(node == nullptr || node->Type() <= DT_LIT) return; + assert(node->Parents().size() == 0); + + std::stack stk; + stk.push(node); + + while(!stk.empty()) { + NodeIndex v = stk.top(); + stk.pop(); + + for(auto c : v->Children()) { + c->delParent(v); edges--; + if(c->Parents().empty() && c->Type() != DT_LIT) + stk.push(c); + } + v->Children().clear(); + + removeNode(v); + } +} +NodeIndex DTNodeManager::getDCNode(Glucose1::Var x) +{ + NodeIndex dc = DontCare(x); + if(Node(dc).Children().size()==0) { + Node(dc).reset(DT_DC, x); + addEdge(dc, Literal(x, false)); + addEdge(dc, Literal(x, true)); + nodes++; + } + assert(Node(DontCare(x)).Children().size()==2); + return dc; +} +NodeIndex DTNodeManager::OR(Glucose1::Var x, NodeIndex first, NodeIndex second) +{ + if(isBottom(first)) + return second; + else if(isBottom(second)) + return first; + else if(first->Type() == DT_LIT && second->Type() == DT_LIT) + return getDCNode(x); + else { + NodeIndex v = newNode(DT_OR, x+1); + addEdge(v, first); + addEdge(v, second); + return v; + } +} +void DTNodeManager::compressANDs() +{ + NodeIndex r = Root(); + + char checked = ++state; + + stack target; + stack search; + + if(!isBottom(r) && !isTop(r)) { + search.push(r); + r->setState(checked); + } + + while(!search.empty()) { + NodeIndex v = search.top(); + search.pop(); + + if(v->Type() == DT_OR) { + for(auto c : v->Children()) { + if(c->State() == checked) continue; + if(c->Type() == DT_AND || c->Type() == DT_OR) { + search.push(c); + c->setState(checked); + } + } + } + else if(v->Type() == DT_AND) { + for(auto c : v->Children()) { + if(c->State() == checked) continue; + if(c->Type() == DT_OR) { + search.push(c); + } + else if(c->Type() == DT_AND) { + if(c->Parents().size() == 1) + target.push(c); + else + search.push(c); + } + c->setState(checked); + } + + while(!target.empty()) { + NodeIndex d = target.top(); + target.pop(); + + delEdge(v, d); + for(auto e : d->Children()){ + e->delParent(d); edges--; + addEdge(v, e); + if(e->State() == checked) continue; + if(e->Type() == DT_OR) { + search.push(e); + } + else if(e->Type() == DT_AND) { + if(e->Parents().size() == 1) + target.push(e); + else + search.push(e); + } + e->setState(checked); + } + d->Children().clear(); + removeNode(d); + } + } + } +} +template +T_data DTNodeManager::countModel(Glucose1::vec& lit_weight, bool wc) +{ + NodeIndex r = Root(); + if(isTop(r)) return 1; + if(isBottom(r)) return 0; + + vector mc; + mc.resize(nodes+2*vars, 0); + + char checked = ++state; + unsigned int id = 0; + + for(int i=0; iParents().size()>0 || Literal(l) == root) { + mc[id] = wc ? lit_weight[toInt(l)] : 1; + Literal(l)->setId(id++); + Literal(l)->setState(checked); + } + } + + stack::iterator>> stack; + stack.push(std::make_pair(r, r->Children().begin())); + + while(!stack.empty()) { + auto ent = stack.top(); + + if(ent.first->State() == checked) { + stack.pop(); + continue; + } + + if(ent.second == ent.first->Children().end()) { + if(ent.first->Type() == DT_AND) { + mc[id] = 1; + for(auto c : ent.first->Children()){ + mc[id] *= mc[c->Id()]; + } + } else if(ent.first->Type() == DT_OR || ent.first->Type() == DT_DC) { + assert(ent.first->Children().size()==2); + for(auto c : ent.first->Children()){ + mc[id] += mc[c->Id()]; + } + } + + ent.first->setId(id++); + ent.first->setState(checked); + stack.pop(); + } + else { + NodeIndex c = *(ent.second); + stack.top().second++; + stack.push(std::make_pair(c, c->Children().begin())); + } + } + + T_data result = mc[r->Id()]; + return result; +} +template mpz_class DTNodeManager::countModel(Glucose1::vec& lit_weight, bool wc); + +void DTNodeManager::printNode(NodeIndex node, ostream& out) const +{ + if(isBottom(node)) + out << "O 0 0" << endl; + else if(isTop(node)) + out << "A 0" << endl; + else { + auto v = node; + + switch(v->Type()) { + case DT_LIT: + out << "L " << v->Literal() << endl; break; + case DT_DC: + out << "O " << v->DecisionVar() << " 2 " + << Literal(Glucose1::mkLit(v->DecisionVar()-1))->Id() << " " + << Literal(~Glucose1::mkLit(v->DecisionVar()-1))->Id() << endl; break; + case DT_AND: + out << "A " << v->Children().size(); + for(auto c : v->Children()) + out << " " << c->Id(); + out << endl; + break; + case DT_OR: + assert(v->Children().size() == 2); + out << "O " << v->DecisionVar() << " 2 " << v->Children()[0]->Id() << " " << v->Children()[1]->Id() << endl; break; + default: + assert(false); + } + } +} +void DTNodeManager::printNNF(ostream& out) +{ + NodeIndex r = Root(); + + if(isTop(r)) { + out << "nnf 1 0 " << vars << endl; + printNode(Top(), out); + return; + } + if(isBottom(r)) { + out << "nnf 1 0 " << vars << endl; + printNode(Bottom(), out); + return; + } + + unsigned int id = 0; + for(int i=0; iParents().size()>0 || j == root) + j->setId(id++); + else + j->setId(UINT_MAX); + } + + out << "nnf " << (nodes+id) << " " << edges << " " << vars << endl; + + char checked = ++state; + + for(int i=0; iId() < UINT_MAX) + printNode(j, out); + j->setState(checked); + } + } + + stack::iterator>> stack; + stack.push(std::make_pair(r, r->Children().begin())); + + while(!stack.empty()) { + auto ent = stack.top(); + + if(ent.first->State() == checked) { + stack.pop(); + continue; + } + + if(ent.second == ent.first->Children().end()) { + ent.first->setId(id++); + printNode(ent.first, out); + ent.first->setState(checked); + stack.pop(); + } + else { + NodeIndex c = *(ent.second); + stack.top().second++; + stack.push(std::make_pair(c, c->Children().begin())); + } + } +} +void DTNodeManager::printStats() const +{ + cout << "c o " << nodes << " internal nodes, " << edges << " edges, " << vars << " vars" << endl; +} + + diff --git a/3rdParty/GPMC/ddnnf/DecisionTree.h b/3rdParty/GPMC/ddnnf/DecisionTree.h new file mode 100644 index 00000000..90a1a916 --- /dev/null +++ b/3rdParty/GPMC/ddnnf/DecisionTree.h @@ -0,0 +1,154 @@ +#ifndef DECISIONTREE_H +#define DECISIONTREE_H + +#include +#include +#include +#include +#include + +#include "core/SolverTypes.h" + +using namespace std; + +class DTNode; +typedef DTNode* NodeIndex; + +#define UNDEF_NODE nullptr +#define UNDEF_VAL -1 + +enum DT_NodeType : char +{ + DT_TOP, + DT_BOT, + DT_LIT, + DT_AND, + DT_OR, + DT_DC +}; + +class DTNodeManager; + +class DTNode +{ + DT_NodeType type; + char state; + unsigned int id; + int val; /* When DT_OR, this value is x+1 where x is a decision var. + When DT_LIt, this value is x+1(or -(x+1)) for a positive (or negative) of var x. */ + vector children; + vector parents; + +public: + DTNode() : + type(DT_AND), state(0), id(UINT_MAX), val(0) + { } + DTNode(DT_NodeType type, int arg=0) : + type(type), state(0), id(UINT_MAX), val(arg) + { } + + ~DTNode() { parents.clear(); children.clear(); } + + DT_NodeType Type() const { return type; } + char State() const { return state; } + unsigned int Id() const { return id; } + int DecisionVar() const { assert(Type() == DT_OR || Type() == DT_DC); return val; } + int Literal() const { assert(Type() == DT_LIT); return val; } + + void setType(DT_NodeType type) { this->type = type; } + void setState(char state) { this->state = state; } + void setId(unsigned int id) { this->id = id; } + void reset(DT_NodeType type, int arg) { this->type = type; this->val = arg; } + + vector& Children() { return children; } + vector& Parents() { return parents; } + void addParent(NodeIndex parent) { parents.push_back(parent); } + void addChild(NodeIndex child) { children.push_back(child); } + void delParent(NodeIndex parent); + void delChild(NodeIndex child); +}; +inline void DTNode::delParent(NodeIndex parent) +{ + auto it = std::find(parents.rbegin(), parents.rend(), parent); + assert(it != parents.rend()); + parents.erase((++it).base()); +} +inline void DTNode::delChild(NodeIndex child) +{ + auto it = std::find(children.rbegin(), children.rend(), child); + assert(it != children.rend()); + children.erase((++it).base()); +} +extern DTNode topnode; +extern DTNode bottomnode; +const NodeIndex TOP_NODE = &topnode; +const NodeIndex BOTTOM_NODE = &bottomnode; + +const size_t default_blocksize = (1 << 14); +const size_t max_blocksize = (1 << 22); +struct NodeBlock { + NodeIndex ptr; + size_t cap; // capacity + size_t sz; // size, including recycled ones + + NodeBlock(NodeIndex ptr, size_t cap) : ptr(ptr), cap(cap), sz(0) { } + bool isFull() { return sz >= cap; } + NodeIndex getNode() { NodeIndex p = &(ptr[sz]); sz++; return p; } +}; + +class DTNodeManager { + NodeIndex basicnodes; + size_t poolnodes; + std::vector pool; + std::queue recycles; + + NodeIndex root; + char state; + + uint64_t nodes; /* the number of internal nodes */ + uint64_t edges; + int vars; + +public: + DTNodeManager() : basicnodes(UNDEF_NODE), poolnodes(0), root(UNDEF_NODE), state(0), nodes(0), edges(0), vars(0) { } + ~DTNodeManager() { + for(auto bk : pool) + delete[] bk.ptr; + delete[] basicnodes; + } + + NodeIndex Root() { return root; } + void setRoot(NodeIndex node) { this->root = node; } + + NodeIndex newNode(DT_NodeType type, int arg=UNDEF_VAL); + DTNode& Node(NodeIndex node) { return *node; } + void removeNode(NodeIndex node); /* remove only the node */ + void deleteNodes(NodeIndex node); /* delete the node and its descendants that do not have another ancestor, not a descendant of the node) */ + + void addEdge(NodeIndex parent, NodeIndex child); + void delEdge(NodeIndex parent, NodeIndex child); + + NodeIndex Bottom() const { return BOTTOM_NODE; } + NodeIndex Top() const { return TOP_NODE; } + bool isBottom(NodeIndex node) const { return node == BOTTOM_NODE; } + bool isTop(NodeIndex node) const { return node == TOP_NODE; } + + void init(int vars); + /* This class reserves nodes for literals and Don't-cares of all variables when initialization. */ + + NodeIndex Literal(Glucose1::Lit l) const { return basicnodes + toInt(l); } + NodeIndex Literal(Glucose1::Var x, bool sign) { return basicnodes + toInt(Glucose1::mkLit(x, sign)); } + NodeIndex DontCare(Glucose1::Var x) { return basicnodes + ((vars << 1) + x); } + NodeIndex getDCNode(Glucose1::Var x); + + NodeIndex OR(Glucose1::Var x, NodeIndex first, NodeIndex second); + void compressANDs(); + + template T_data countModel(Glucose1::vec& lit_weight, bool wc); + + void printNode(NodeIndex node, ostream& out) const; + void printNNF(ostream& out); + void printStats() const; +}; + +#endif diff --git a/3rdParty/GPMC/example/README.txt b/3rdParty/GPMC/example/README.txt new file mode 100644 index 00000000..212f86e3 --- /dev/null +++ b/3rdParty/GPMC/example/README.txt @@ -0,0 +1,94 @@ +[1. d-DNNFのファイル出力の方法] +gpmc の実行時に，-ddnnfオプションと-nnfoutオプションを付ける． + +$ ./gpmc -mode=2 -ddnnf -nnfout=test.nnf test.cnf + +test.nnf というファイル名でファイル出力される． + + +[2. d-DNNFファイルの内容について] +大きく2つのパートに分かれている． +(a) 前処理の簡単化前後の投射変数の対応関係についての情報 +(b) 簡単化後のCNF式に対するd-DNNF出力（投射モデル集合を表現するd-DNNF） + + +<(a) 前処理の簡単化前後の投射変数の対応関係についての情報> + +(i) ヘッダ +p vmap [元CNFの投射変数の数] [簡単化後の投射変数の数] [値が確定した変数の数] [自由変数群の数] [従属変数の数] + + +(ii) 値が確定した投射変数（a から始まる行．1行のみ．） +例えば， +a -1 2 0 +の場合，どのモデル（式を真にする割り当て）においても +元のCNF式の変数 1 は 偽， + 変数 2 は 真 +という割り当てしかありえないことを表している． + + +(iii) 自由な投射変数群の数（f から始まる行．複数行あり．） +例えば， +f 1 -2 3 0 +f -4 5 0 +という2行が出力されている場合， +変数1, 2, 3 の３つの変数は他の変数への割り当てと独立して真偽のどちらも割り当てることが可能． +ただし， +- 変数1が真のとき，変数2は偽，変数3は真 +- 偽のとき，変数2は真，変数3は偽 +と同期しないといけない． +変数4, 5についても同様に， +- 変数4が真のとき，変数2は偽，変数3は真 +- 偽のとき，変数2は真，変数3は偽 + +モデルの数だけを求めるときは， +fから始まる行数がn行あれば，d-DNNFの計数結果を単に2^n倍すればよい． + + +(iv) 従属変数（d から始まる行．1行のみ．） +d 1 2 3 0 +ならば，元のCNF式の投射変数 1, 2, 3 は従属変数であるため削除されている．つまり， +他の変数の割り当てが決まれば，変数1, 2, 3 の割り当ては一意に決まることがわかっている． +変数1, 2, 3 以外の変数への割り当て（部分モデル）は列挙可能である． +変数1, 2, 3 へ具体的にどんな値が割り当たるのかについてはd-DNNFだけからではわからない． +完全な割り当てにするために変数1, 2, 3への割り当て補完するためには， +部分割り当てを仮定してCNF式に対するSAT判定を行うなどの処理が必要になる． + + +(v) 簡単化前後のCNF式の投射変数の対応関係 +v 123 1 /* 元のCNF式での投射変数123 は簡単化後の変数1の正リテラル と一致 */ +v 124 2 /* 投射変数124 は 変数2の正リテラル と一致 */ +v 125 -1 /* 投射変数125 は 変数1の負リテラル と一致 */ +... + + + +<(b) 簡単化後のCNF式に対するd-DNNF出力> + +(i) ヘッダ +nnf [ノード数] [辺の数] + + +!! ヘッダの次の行を0行目と考える．各ノードのIDは何行目かに対応する．!! + +(ii) リテラルノード +L 1 /* 変数1の正リテラルノード */ +L -1 /* 変数1の負リテラルノード */ +... + +(iii) OR ノード + +O 123 2 10 11 + +という行であれば，以下のようなORノードを表す． +- 簡単化後の変数123の決定に対応する +- IDが10, 11 である２ノードを子ノードにもつ + + +(iv) AND ノード +A 3 10 11 12 + +という行があれば，以下のようなANDノードを表す． +- 子ノードの数は 3 +- 子ノードは，IDが10, 11, 12である3ノード． + diff --git a/3rdParty/GPMC/example/mc2022_track3_003.cnf b/3rdParty/GPMC/example/mc2022_track3_003.cnf new file mode 100644 index 00000000..385202eb --- /dev/null +++ b/3rdParty/GPMC/example/mc2022_track3_003.cnf @@ -0,0 +1,274822 @@ +c t pmc +c file mc2022_track3_003.cnf +p cnf 2289 274818 +c p show 74 182 186 212 229 248 263 312 322 371 389 430 434 435 511 576 584 600 617 636 643 712 746 748 749 769 784 824 827 938 952 961 970 999 1054 1055 1069 1088 1110 1144 1153 1178 1184 1193 1394 1449 1509 1552 1561 1598 1600 1782 1902 1926 2043 2052 2104 2158 2196 2227 2228 2245 0 +1 0 +8 9 0 +15 16 17 0 +22 23 24 25 0 +29 30 31 32 33 0 +36 37 38 39 40 41 0 +43 44 45 46 47 48 49 0 +50 51 52 53 54 55 56 0 +57 58 59 60 61 62 63 0 +64 65 66 67 68 69 70 0 +71 72 73 74 75 76 77 0 +78 79 80 81 82 83 84 0 +85 86 87 88 89 90 91 0 +92 93 94 95 96 97 98 0 +99 100 101 102 103 104 105 0 +106 107 108 109 110 111 112 0 +113 114 115 116 117 118 119 0 +120 121 122 123 124 125 126 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100644 index 00000000..1b86a441 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/CMakeLists.txt @@ -0,0 +1,12 @@ +SET(flowcutter_SOURCES + src/cell.cpp + src/greedy_order.cpp + src/list_graph.cpp + src/tree_decomposition.cpp) + +add_compile_options("$<$:-O0>") + +add_library(flowcutter ${flowcutter_SOURCES}) + +target_compile_definitions(flowcutter + PRIVATE $<$:DEBUG>) \ No newline at end of file diff --git a/3rdParty/GPMC/flow-cutter-pace17/LICENSE b/3rdParty/GPMC/flow-cutter-pace17/LICENSE new file mode 100644 index 00000000..a8923c71 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/LICENSE @@ -0,0 +1,22 @@ +Copyright (c) 2016, Ben Strasser +All rights reserved. + +Redistribution and use in source and binary forms, with or without modification, +are permitted provided that the following conditions are met: + +Redistributions of source code must retain the above copyright notice, this list +of conditions and the following disclaimer. +Redistributions in binary form must reproduce the above copyright notice, this +list of conditions and the following disclaimer in the documentation and/or +other materials provided with the distribution. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR +ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON +ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/3rdParty/GPMC/flow-cutter-pace17/Makefile b/3rdParty/GPMC/flow-cutter-pace17/Makefile new file mode 100644 index 00000000..05b3369b --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/Makefile @@ -0,0 +1,312 @@ +# CMAKE generated file: DO NOT EDIT! +# Generated by "Unix Makefiles" Generator, CMake Version 3.27 + +# Default target executed when no arguments are given to make. +default_target: all +.PHONY : default_target + +# Allow only one "make -f Makefile2" 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CMakeFiles/Makefile.cmake 0 +.PHONY : cmake_check_build_system + diff --git a/3rdParty/GPMC/flow-cutter-pace17/README.md b/3rdParty/GPMC/flow-cutter-pace17/README.md new file mode 100644 index 00000000..d889bec1 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/README.md @@ -0,0 +1,45 @@ +# FlowCutter PACE 2017 Submission + +This repository contains the FlowCutter code submitted to the [PACE 2017](https://pacechallenge.wordpress.com/2016/12/01/announcing-pace-2017/) tree decomposition challenge. +FlowCutter was developed at [KIT](https://www.kit.edu) in the [group of Prof. Dorothea Wagner](https://i11www.iti.kit.edu/). + +If you are running a Unix-like system, then getting started is very simple. Just clone the repository and build the programs, as follows: + +```bash +git clone https://github.com/kit-algo/flow-cutter-pace17.git +cd flow-cutter-pace17 +./build.sh +``` + +There are no dependencies beyond a GCC with version 4.8 or newer. Clang should also work but has not been tested by us. Building the code under Windows probably requires a few code modifications in `pace.cpp`. + +After executing the build script, the root directory of the repository should contain the two binary files `flow_cutter_pace17` and `flow_cutter_parallel_pace17`. These are the programs entered into the heuristic, sequential and heuristic, parallel tracks of the competition. The outputted decompositions are guaranteed to be valid but do not necessarily have a minimum width. Both executable have the same interface. + +There are three ways to correctly invoke the program: + +```bash +./flow_cutter_pace17 < my_graph.gr +./flow_cutter_pace17 my_graph.gr +./flow_cutter_pace17 -s 42 < my_graph.gr +``` + +The first and the last commands read the input graph from the standard input. The second command reads it from a file whose name is given as parameter. The `-s` parameter sets the random seed. By default a seed of 0 is assumed. We tried to make sure that given the same seed, the behaviour of the sequential binary should be the identical even accross compilers. + +The executables run until either a SIGINT or SIGTERM signal is sent. Once this signal is encountered the programm prints a tree decomposition to the standard output with the smallest width that it could found and terminates. Note that no decomposition is outputted if you send the signal before any decomposition is found. + +The format specification of the input graph and output decompositions follow those of the [PACE 2017](https://pacechallenge.wordpress.com/2016/12/01/announcing-pace-2017/) challenge. + +**Warning:** The FlowCutter PACE 2017 code only optimizes the tree width. If you want to optimize different criteria such as the fill-in, the [FlowCutter PACE 2016 code](https://github.com/ben-strasser/flow-cutter-pace16) will probably give better results. + +## Publications + +Please cite the following article if you use our code in a publication: + +* Graph Bisection with Pareto-Optimization. + Michael Hamann and Ben Strasser. + Proceedings of the 18th Meeting on Algorithm Engineering and Experiments (ALENEX'16). + +## Contact + +Please send an email to Ben Strasser (strasser (at) kit (dot) edu). + diff --git a/3rdParty/GPMC/flow-cutter-pace17/build.sh b/3rdParty/GPMC/flow-cutter-pace17/build.sh new file mode 100644 index 00000000..488c53d9 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/build.sh @@ -0,0 +1,3 @@ +#!/bin/sh +g++ -Wall -std=c++11 -O3 -DNDEBUG src/*.cpp -o flow_cutter_pace17 + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/array_id_func.h b/3rdParty/GPMC/flow-cutter-pace17/src/array_id_func.h new file mode 100644 index 00000000..ee0954e4 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/array_id_func.h @@ -0,0 +1,188 @@ +#ifndef ARRAY_ID_FUNC_H +#define ARRAY_ID_FUNC_H + +#include "id_func.h" +#include +#include +#include + +template +class ArrayIDFunc{ +public: + ArrayIDFunc()noexcept:preimage_count_(0), data_(nullptr){} + + explicit ArrayIDFunc(int preimage_count) + :preimage_count_(preimage_count){ + assert(preimage_count >= 0 && "ids may not be negative"); + if(preimage_count == 0) + data_ = nullptr; + else + data_ = new T[preimage_count_]; + } + + template + ArrayIDFunc(const IDFunc&o) + :preimage_count_(o.preimage_count()){ + if(preimage_count_ == 0) + data_ = nullptr; + else{ + data_ = new T[preimage_count_]; + try{ + for(int id=0; id + typename std::enable_if< + is_id_func::value && + std::is_convertible::type, T>::value, + ArrayIDFunc&>::type operator=(const IDFunc&o){ + ArrayIDFunc(o).swap(*this); + return *this; + } + + ArrayIDFunc&operator=(const ArrayIDFunc&o){ + ArrayIDFunc(o).swap(*this); + return *this; + } + + ArrayIDFunc&operator=(ArrayIDFunc&&o)noexcept{ + this->~ArrayIDFunc(); + data_ = nullptr; + preimage_count_ = 0; + swap(o); + return *this; + } + + // IDFunc + int preimage_count() const{return preimage_count_;} + + const T&operator()(int id) const{ + assert(0 <= id && id < preimage_count_ && "id out of bounds"); + return data_[id]; + } + + // Mutable IDFunc + void set(int id, T t){ + assert(0 <= id && id < preimage_count_ && "id out of bounds"); + data_[id] = std::move(t); + } + + T move(int id){ + assert(0 <= id && id < preimage_count_ && "id out of bounds"); + return std::move(data_[id]); + } + + void fill(const T&t){ + std::fill(data_, data_+preimage_count_, t); + } + + // Array only functionality + T&operator[](int id){ + assert(0 <= id && id < preimage_count_ && "id out of bounds"); + return data_[id]; + } + + const T&operator[](int id) const{ + assert(0 <= id && id < preimage_count_ && "id out of bounds"); + return data_[id]; + } + + T*begin(){ return data_; } + const T*begin() const{ return data_; } + T*end(){ return data_ + preimage_count_; } + const T*end()const{ return data_ + preimage_count_; } + + int preimage_count_; + T*data_; +}; + +struct ArrayIDIDFunc : public ArrayIDFunc{ + + ArrayIDIDFunc()noexcept :image_count_(0){} + + ArrayIDIDFunc(int preimage_count, int image_count) + :ArrayIDFunc(preimage_count), image_count_(image_count){} + + ArrayIDIDFunc(const ArrayIDIDFunc&o) = default; + ArrayIDIDFunc(ArrayIDIDFunc&&) = default; + ArrayIDIDFunc&operator=(const ArrayIDIDFunc&) = default; + ArrayIDIDFunc&operator=(ArrayIDIDFunc&&) = default; + + void swap(ArrayIDIDFunc&o){ + std::swap(image_count_, o.image_count_); + ArrayIDFunc::swap(static_cast&>(o)); + } + + template + ArrayIDIDFunc(const IDFunc&f, int image_count_) + : ArrayIDFunc(f), image_count_(image_count_){} + + + template + ArrayIDIDFunc(const IDIDFunc&f/*, + typename std::enable_if::value, void>::type*dummy=0*/) + : ArrayIDFunc(f), image_count_(f.image_count()){} + + template + typename std::enable_if< + is_id_id_func::value, + ArrayIDIDFunc& + >::type operator=(const IDIDFunc&o){ + ArrayIDIDFunc(o).swap(*this); + return *this; + } + + int image_count()const { return image_count_; } + + int operator()(int x) const{ + assert(0 <= x && x < preimage_count_ && "preimage id out of bounds"); + int y = data_[x]; + assert(0 <= y && y < image_count_ && "image id out of bounds"); + return y; + } + + void set_image_count(int new_image_count){ + image_count_ = new_image_count; + } + + int image_count_; +}; + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/back_arc.h b/3rdParty/GPMC/flow-cutter-pace17/src/back_arc.h new file mode 100644 index 00000000..69900362 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/back_arc.h @@ -0,0 +1,51 @@ +#ifndef BACK_ARC_H +#define BACK_ARC_H + +#include "array_id_func.h" +#include "id_sort.h" + +// Input graph must be symmetric +template +ArrayIDIDFunc compute_back_arc_permutation(const Tail&tail, const Head&head){ + + const int arc_count = head.preimage_count(); + const int node_count = head.image_count(); + + struct D{ + int tail, head, arc_id; + }; + + ArrayIDFuncarc_list(arc_count), tmp(arc_count); + for(int i=0; i arc_list[i].head) + std::swap(arc_list[i].tail, arc_list[i].head); + arc_list[i].arc_id = i; + } + + stable_sort_copy_by_id( + std::begin(arc_list), std::end(arc_list), + std::begin(tmp), + node_count, + [](D d){return d.head;} + ); + stable_sort_copy_by_id( + std::begin(tmp), std::end(tmp), + std::begin(arc_list), + node_count, + [](D d){return d.tail;} + ); + + ArrayIDIDFunc back_arc(head.preimage_count(), head.preimage_count()); + + for(int i=0; i + +#ifndef NDEBUG +#include "union_find.h" +#endif + + +#include "list_graph.h" + +namespace cch_order{ + + inline + bool is_valid_partial_order(const ArrayIDIDFunc&partial_order){ + if(partial_order.preimage_count() == 0) + return true; + else + return max_over_id_func(compute_histogram(partial_order)) <= 1; + } + + // Computes an optimal order for a graph consisting of only a path + template + ArrayIDIDFunc compute_path_graph_order(int node_count, const InputNodeID&input_node_id){ + ArrayIDIDFunc order(node_count, input_node_id.image_count()); + int pos = 0; + for(int i=1; i<=node_count; i*=2){ + for(int j=i-1; j + ArrayIDIDFunc compute_tree_graph_order(const Tail&tail, const Head&head, const InputNodeID&input_node_id){ + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + assert(is_connected(tail, head)); + assert(2*(node_count-1) == arc_count); + + auto out_arc = invert_id_id_func(tail); + + ArrayIDFuncdeg = id_func(node_count, [](int){return 0;}); + for(int xy=0; xy + ArrayIDIDFunc compute_tree_graph_order(const Tail&tail, const Head&head){ + return compute_tree_graph_order( + tail, head, + id_id_func( + tail.image_count(), tail.image_count(), + [](int x){return x;} + ) + ); + } + + // Computes an optimal order for a trivial graph. If the input graph is not trivial, then the task is forwarded to the compute_non_trivial_graph_order functor parameter. + // A graph is trivial if it is a clique or a tree. + // + // Precondition: the graph is connected + template + ArrayIDIDFunc compute_trivial_graph_order_if_graph_is_trivial( + ArrayIDIDFunc tail, ArrayIDIDFunc head, + ArrayIDIDFunc input_node_id, + const ComputeNonTrivialGraphOrder&compute_non_trivial_graph_order + ){ + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + assert(is_connected(tail, head)); + + bool + is_clique = (static_cast(node_count)*static_cast(node_count-1) == static_cast(arc_count)), + has_no_arcs = (arc_count == 0), + is_tree = (arc_count == 2*(node_count-1)); + + ArrayIDIDFunc order; + + + if(is_clique || has_no_arcs){ + order = id_id_func(node_count, input_node_id.image_count(), [&](int x){return input_node_id(x);}); + }else if(is_tree){ + order = compute_tree_graph_order(std::move(tail), std::move(head), std::move(input_node_id)); + }else { + order = compute_non_trivial_graph_order(std::move(tail), std::move(head), std::move(input_node_id)); + } + + assert(is_valid_partial_order(order)); + return order; // NVRO + } + + // This function internally reorders the nodes in preorder, then recurses on each component of the graph. + // should_place_node_at_the_end_of_the_order is called with the id of some node of the component and the function should decide + // whether this component is placed at the end of the order or at the front. + // If the relative component order does not matter, then let should_place_node_at_the_end_of_the_order always return false. + // + // compute_connected_graph_order should order the nodes in each component. The order should map node IDs in the graph that is given to input node IDs. + template + ArrayIDIDFunc reorder_nodes_in_preorder_and_compute_unconnected_graph_order_if_component_is_non_trivial( + ArrayIDIDFunc tail, ArrayIDIDFunc head, + ArrayIDIDFunc input_node_id, + const ComputeConnectedGraphOrder&compute_connected_graph_order, + const ShouldPlaceNodeAtTheEndOfTheOrder&should_place_node_at_the_end_of_the_order + ){ + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + // We first reorder the graph nodes in preorder + + auto preorder = compute_preorder(compute_successor_function(tail, head)); + + { + auto inv_preorder = inverse_permutation(preorder); + tail = chain(std::move(tail), inv_preorder); + head = chain(std::move(head), inv_preorder); + input_node_id = chain(preorder, std::move(input_node_id)); + } + + // We then sort the arcs accordingly + + { + auto p = sort_arcs_first_by_tail_second_by_head(tail, head); + tail = chain(p, std::move(tail)); + head = chain(p, std::move(head)); + } + + assert(is_symmetric(tail, head)); + + ArrayIDIDFunc order(node_count, input_node_id.image_count()); + int order_begin = 0; + int order_end = node_count; + + // By reordering the nodes in preorder, we can guarentee, that the nodes of every component are from a coninous range. + // As we sorted the arcs this is also true for the arcs. + + + // The following function is called for every component. The components are identified afterwards. + auto on_new_component = [&](int node_begin, int node_end, int arc_begin, int arc_end){ + auto sub_node_count = node_end - node_begin; + auto sub_arc_count = arc_end - arc_begin; + + auto sub_tail = id_id_func( + sub_arc_count, sub_node_count, + [&](int x){ + return tail(arc_begin + x) - node_begin; + } + ); + auto sub_head = id_id_func( + sub_arc_count, sub_node_count, + [&](int x){ + return head(arc_begin + x) - node_begin; + } + ); + auto sub_input_node_id = id_id_func( + sub_node_count, input_node_id.image_count(), + [&](int x){ + return input_node_id(node_begin + x); + } + ); + + + assert(is_symmetric(sub_tail, sub_head)); + assert(!has_multi_arcs(sub_tail, sub_head)); + assert(is_loop_free(sub_tail, sub_head)); + + + auto sub_order = compute_trivial_graph_order_if_graph_is_trivial(sub_tail, sub_head, sub_input_node_id, compute_connected_graph_order); + + #ifndef NDEBUG + if(node_begin != node_end) + { + bool r = should_place_node_at_the_end_of_the_order(preorder(node_begin)); + for(int x=node_begin; x + ArrayIDIDFunc compute_nested_dissection_graph_order( + ArrayIDIDFunc tail, ArrayIDIDFunc head, + ArrayIDIDFunc input_node_id, + const ComputeSeparator&compute_separator, + const ComputePartOrder&compute_graph_part_order + ){ + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + auto separator = compute_separator(tail, head, input_node_id); + assert(separator.size() > 0); + + BitIDFunc in_separator(node_count); + in_separator.fill(false); + for(auto x:separator) + in_separator.set(x, true); + + BitIDFunc keep_arc_flag = id_func( + arc_count, + [&](int a){ + return in_separator(tail(a)) == in_separator(head(a)); + } + ); + + if((int)separator.size() == node_count){ + keep_arc_flag.fill(false); + } + + + int new_arc_count = count_true(keep_arc_flag); + tail = keep_if(keep_arc_flag, new_arc_count, std::move(tail)); + head = keep_if(keep_arc_flag, new_arc_count, std::move(head)); + + assert(is_symmetric(tail, head)); + + return reorder_nodes_in_preorder_and_compute_unconnected_graph_order_if_component_is_non_trivial( + std::move(tail), std::move(head), + std::move(input_node_id), + compute_graph_part_order, std::move(in_separator) + ); + } + + template + ArrayIDIDFunc compute_nested_dissection_graph_order( + ArrayIDIDFunc tail, ArrayIDIDFunc head, + ArrayIDIDFunc input_node_id, + const ComputeSeparator&compute_separator + ){ + auto compute_graph_part_order = [&]( + ArrayIDIDFunc a_tail, ArrayIDIDFunc a_head, + ArrayIDIDFunc a_input_node_id + ){ + return compute_nested_dissection_graph_order( + std::move(a_tail), std::move(a_head), + std::move(a_input_node_id), + compute_separator + ); + }; + return compute_nested_dissection_graph_order(tail, head, input_node_id, compute_separator, compute_graph_part_order); + } + + template + ArrayIDIDFunc compute_graph_order_with_large_degree_three_independent_set_at_the_begin( + ArrayIDIDFunc tail, ArrayIDIDFunc head, + ArrayIDIDFunc input_node_id, + const ComputeCoreGraphOrder&compute_core_graph_order + ){ + const int node_count = tail.image_count(); + int arc_count = tail.preimage_count(); + + BitIDFunc in_independent_set(node_count); + in_independent_set.fill(false); + + auto inv_tail = invert_sorted_id_id_func(tail); + auto degree = id_func( + node_count, + [&](int x){ + return inv_tail(x).end() - inv_tail(x).begin(); + } + ); + + auto back_arc = compute_back_arc_permutation(tail, head); + + for(auto x=0; x + ArrayIDIDFunc compute_graph_order_with_degree_two_chain_at_the_begin( + ArrayIDIDFunc tail, ArrayIDIDFunc head, + ArrayIDIDFunc input_node_id, + const ComputeCoreGraphOrder&compute_core_graph_order + ){ + const int node_count = tail.image_count(); + int arc_count = tail.preimage_count(); + + assert(tail.preimage_count() == arc_count); + assert(head.preimage_count() == arc_count); + assert(input_node_id.preimage_count() == node_count); + assert(tail.image_count() == node_count); + assert(head.image_count() == node_count); + + + //auto degree = compute_histogram(tail); + + assert(is_symmetric(tail, head)); + assert(!has_multi_arcs(tail, head)); + assert(is_loop_free(tail, head)); + + + BitIDFunc keep_flag(arc_count); + keep_flag.fill(true); + + auto inv_tail = invert_sorted_id_id_func(tail); + auto degree = id_func( + node_count, + [&](int x){ + return inv_tail(x).end() - inv_tail(x).begin(); + } + ); + + BitIDFunc node_in_core = id_func( + node_count, + [&](int x){ + return degree(x) > 2; + } + ); + + for(auto first_arc=0; first_arc 2 && degree(chain_now) <= 2){ + auto chain_prev = chain_begin; + + int arc_prev_to_now = first_arc; + + while(degree(chain_now) == 2){ + for(auto arc_now_to_next : inv_tail(chain_now)){ + auto chain_next = head(arc_now_to_next); + if(chain_next != chain_prev){ + + chain_prev = chain_now; + chain_now = chain_next; + arc_prev_to_now = arc_now_to_next; + break; + } + } + } + + assert(arc_prev_to_now != -1); + + auto chain_end = chain_now; + auto last_arc = arc_prev_to_now; + + assert(degree(chain_end) != 0); + + if(degree(chain_end) == 1){ + // Dead end, no shortcut needed + keep_flag.set(first_arc, false); + for(auto back_arc_for_first_arc:inv_tail(head(first_arc))){ + if(head(back_arc_for_first_arc) == tail(first_arc)){ + keep_flag.set(back_arc_for_first_arc, false); + break; + } + } + }else{ + if(chain_begin == chain_end){ + // The chain is a loop, no shortcut needed + keep_flag.set(first_arc, false); + keep_flag.set(last_arc, false); + }else{ + // A normal chain, shortcut needed + head[first_arc] = chain_end; + keep_flag.set(last_arc, false); + } + } + } + } + + // Remove arcs between chains and the rest graph + { + arc_count = count_true(keep_flag); + tail = keep_if(keep_flag, arc_count, std::move(tail)); + head = keep_if(keep_flag, arc_count, std::move(head)); + } + + // Remove multi arcs + { + keep_flag = identify_non_multi_arcs(tail, head); + arc_count = count_true(keep_flag); + tail = keep_if(keep_flag, arc_count, std::move(tail)); + head = keep_if(keep_flag, arc_count, std::move(head)); + } + + #ifndef NDEBUG + + assert(is_symmetric(tail, head)); + assert(!has_multi_arcs(tail, head)); + assert(is_loop_free(tail, head)); + + { + auto degree = compute_histogram(tail); + int not_in_core_count = 0; + for(int x=0; x + ArrayIDIDFunc compute_graph_order_with_largest_biconnected_component_at_the_end( + ArrayIDIDFunc tail, ArrayIDIDFunc head, + ArrayIDIDFunc input_node_id, + const ComputeConnectedGraphOrder&compute_component_graph_order + ){ + int node_count = tail.image_count(); + int arc_count = tail.preimage_count(); + + // Determine the nodes incident to largest biconnected component. + // Large in terms of many arcs. + + BitIDFunc node_in_largest_biconnected_component(node_count); + + { + auto out_arc = invert_sorted_id_id_func(tail); + auto back_arc = compute_back_arc_permutation(tail, head); + auto arc_component = compute_biconnected_components(out_arc, head, back_arc); + auto largest_component = max_preimage_over_id_func(compute_histogram(arc_component)); + node_in_largest_biconnected_component.fill(false); + for(int i=0; ibool{ + if(i!=0){ + if(tail(i-1) == tail(i) && head(i-1) == head(i)) + return false; + } + if(tail(i) == head(i)) + return false; + return true; + } + ); + int new_arc_count = count_true(keep_flag); + tail = keep_if(keep_flag, new_arc_count, std::move(tail)); + head = keep_if(keep_flag, new_arc_count, std::move(head)); + } + + assert(is_loop_free(tail, head)); + assert(!has_multi_arcs(tail, head)); + assert(is_symmetric(tail, head)); + } + + + template + ArrayIDIDFunc compute_nested_dissection_graph_order( + ArrayIDIDFunc tail, ArrayIDIDFunc head, + const ComputeSeparator&compute_separator + ){ + const int node_count = tail.image_count(); + + make_graph_simple(tail, head); + + auto input_node_id = identity_permutation(node_count); + + auto compute_order = [&]( + ArrayIDIDFunc a_tail, ArrayIDIDFunc a_head, + ArrayIDIDFunc a_input_node_id + ){ + return compute_nested_dissection_graph_order( + std::move(a_tail), std::move(a_head), std::move(a_input_node_id), + compute_separator + ); + }; + + auto order = reorder_nodes_in_preorder_and_compute_unconnected_graph_order_if_component_is_non_trivial( + std::move(tail), std::move(head), std::move(input_node_id), + compute_order, [](int){return false;} + ); + + assert(is_permutation(order)); + + return order; // NVRO + } + + template + ArrayIDIDFunc compute_cch_graph_order( + ArrayIDIDFunc tail, ArrayIDIDFunc head, + ArrayIDIDFunc input_node_id, + const ComputeSeparator&compute_separator + ){ + make_graph_simple(tail, head); + + auto orderer3 = [&]( + ArrayIDIDFunc a_tail, ArrayIDIDFunc a_head, + ArrayIDIDFunc a_input_node_id + ){ + return compute_nested_dissection_graph_order( + std::move(a_tail), std::move(a_head), std::move(a_input_node_id), + compute_separator + ); + }; + + auto orderer2 = [&]( + ArrayIDIDFunc a_tail, ArrayIDIDFunc a_head, + ArrayIDIDFunc a_input_node_id + ){ + return compute_graph_order_with_degree_two_chain_at_the_begin( + std::move(a_tail), std::move(a_head), std::move(a_input_node_id), + orderer3 + ); + }; + + auto orderer1 = [&]( + ArrayIDIDFunc a_tail, ArrayIDIDFunc a_head, + ArrayIDIDFunc a_input_node_id + ){ + return compute_graph_order_with_largest_biconnected_component_at_the_end( + std::move(a_tail), std::move(a_head), std::move(a_input_node_id), + orderer2 + ); + }; + + auto order = reorder_nodes_in_preorder_and_compute_unconnected_graph_order_if_component_is_non_trivial( + tail, head, input_node_id, + orderer1, [](int){return false;} + ); + + assert(is_permutation(order)); + + return order; // NVRO + } + + template + ArrayIDIDFunc compute_cch_graph_order( + ArrayIDIDFunc tail, ArrayIDIDFunc head, + const ComputeSeparator&compute_separator + ){ + return compute_cch_graph_order(std::move(tail), std::move(head), identity_permutation(tail.image_count()), compute_separator); + } +} +#endif diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/cell.cpp b/3rdParty/GPMC/flow-cutter-pace17/src/cell.cpp new file mode 100644 index 00000000..7338ce09 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/cell.cpp @@ -0,0 +1,20 @@ +#include "cell.h" + +int get_treewidth_of_multilevel_partition(const std::vector&p){ + int tw = 0; + for(auto&x:p) + if(tw < x.bag_size()) + tw = x.bag_size(); + return tw; +} + +int get_node_count_of_multilevel_partition(const std::vector&p){ + int node_count = 0; + for(auto&x:p){ + for(auto&y:x.separator_node_list){ + if(node_count <= y) + node_count = y+1; + } + } + return node_count; +} diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/cell.h b/3rdParty/GPMC/flow-cutter-pace17/src/cell.h new file mode 100644 index 00000000..d48e1fba --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/cell.h @@ -0,0 +1,26 @@ +#ifndef CELL_H +#define CELL_H + +#include + +struct Cell{ + std::vectorseparator_node_list; + std::vectorboundary_node_list; + + int parent_cell; + + int bag_size()const{ + return separator_node_list.size() + boundary_node_list.size(); + } +}; + +inline +bool operator<(const Cell&l, const Cell&r){ + return l.bag_size() < r.bag_size(); +} + +int get_treewidth_of_multilevel_partition(const std::vector&p); +int get_node_count_of_multilevel_partition(const std::vector&p); + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/chain.h b/3rdParty/GPMC/flow-cutter-pace17/src/chain.h new file mode 100644 index 00000000..87525f6f --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/chain.h @@ -0,0 +1,54 @@ +#ifndef CHAIN_H +#define CHAIN_H + +#include +#include "id_func.h" +#include "array_id_func.h" + +// chain(IDIDFunc, IDFunc) +template +typename std::enable_if< + is_id_id_func::value + && is_id_func::value + && !is_id_id_func::value, + ArrayIDFunc::type> +>::type +chain(const L&l, const R&r){ + ArrayIDFunc::type>result(l.preimage_count()); + for(int i=0; i +typename std::enable_if< + is_mutable_id_id_func::value + && is_id_id_func::value, + L +>::type +chain(L l, const R&r){ + assert(l.image_count() == r.preimage_count()); + for(int i=0; i +typename std::enable_if< + is_id_id_func::value + && !is_mutable_id_id_func::value + && is_id_id_func::value, + ArrayIDIDFunc +>::type +chain(const L&l, const R&r){ + assert(l.image_count() == r.preimage_count()); + ArrayIDIDFunc result(l.preimage_count(), r.image_count()); + for(int i=0; i +ArrayIDIDFunc compute_connected_components(const Tail&tail, const Head&head){ + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + UnionFind uf(node_count); + for(int i=0; i +bool is_connected(const Tail&tail, const Head&head){ + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + if(node_count == 0){ + return true; + } else { + UnionFind uf(node_count); + for(int i=0; i +void symmetric_depth_first_search( + const OutArc&out_arc, + const Head&head, + const OnRootFirstVisit&on_root_first_visit, + const OnRootLastVisit&on_root_last_visit, + const OnTreeUpArcVisit&on_tree_down_arc_visit, + const OnTreeDownArcVisit&on_tree_up_arc_visit, + const OnNonTreeArcVisit&on_non_tree_arc_visit +){ + const int arc_count = head.preimage_count(); + const int node_count = out_arc.preimage_count(); + + (void)arc_count; + (void)node_count; + + ArrayIDFunc dfs_stack(node_count); + int dfs_stack_end = 0; + + ArrayIDFunc parent_arc(node_count); + parent_arc.fill(-1); + + ArrayIDFunc parent_node(node_count); + parent_node.fill(-1); + + typedef typename std::decay::type Iter; + ArrayIDFuncnext_out(node_count); + for(int i=0; i +ArrayIDIDFunc compute_biconnected_components( + const OutArc&out_arc, const Head&head, const BackArc&back_arc +){ + const int node_count = out_arc.preimage_count(); + const int arc_count = head.preimage_count(); + + (void)arc_count; + (void)node_count; + + ArrayIDFunc arc_stack(arc_count); + int arc_stack_end = 0; + + ArrayIDIDFunc arc_component(arc_count, 0); + arc_component.fill(-1); + + ArrayIDFunc depth(node_count); + ArrayIDFunc min_succ_depth(node_count); + + auto min_to = [](int&x, int y){ + if(y < x) + x = y; + }; + + auto on_first_root_visit = [&](int x){ + depth[x] = 0; + }; + + auto on_last_root_visit = [&](int x){ + + }; + + auto on_tree_down_arc_visit = [&](int x, int xy, int y){ + arc_stack[arc_stack_end++] = xy; + + min_succ_depth[y] = std::numeric_limits::max(); + depth[y] = depth[x]+1; + }; + + auto on_tree_up_arc_visit = [&](int x, int xy, int y){ + arc_stack[arc_stack_end++] = xy; + + min_to(min_succ_depth[y], min_succ_depth[x]); + min_to(min_succ_depth[y], depth[x]); + + if(min_succ_depth[x] >= depth[y]){ + const int new_component_id = arc_component.image_count(); + arc_component.set_image_count(arc_component.image_count() + 1); + + while(arc_stack_end != 0){ + int ab = arc_stack[--arc_stack_end]; + int ba = back_arc(ab); + if(arc_component[ba] == -1){ + assert(arc_component[ab] == -1); + arc_component[ab] = new_component_id; + arc_component[ba] = new_component_id; + } + if(ba == xy) + break; + } + } + }; + + auto on_non_tree_arc_visit = [&](int x, int xy, int y){ + arc_stack[arc_stack_end++] = xy; + + min_to(min_succ_depth[x], depth[y]); + }; + + symmetric_depth_first_search( + out_arc, head, + on_first_root_visit, on_last_root_visit, + on_tree_down_arc_visit, on_tree_up_arc_visit, + on_non_tree_arc_visit + ); + + #ifndef NDEBUG + for(int i=0; i +bool is_biconnected(const Tail&tail, const Head&head){ + return compute_biconnected_components(invert_id_id_func(tail), head, compute_back_arc_permutation(tail, head)).image_count() <= 1; +} + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/contraction_graph.h b/3rdParty/GPMC/flow-cutter-pace17/src/contraction_graph.h new file mode 100644 index 00000000..00da6c9f --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/contraction_graph.h @@ -0,0 +1,279 @@ +#ifndef CONTRACTION_GRAPH_H +#define CONTRACTION_GRAPH_H + +#include "array_id_func.h" +#include "tiny_id_func.h" +#include "min_max.h" +#include "multi_arc.h" +#include +#include + +class EdgeContractionGraph{ +public: + void rewire_arcs_from_second_to_first(int u, int v){ + union_find_parent[v] = u; + std::swap(next_adjacency_in_ring[u], next_adjacency_in_ring[v]); + } + + template + void forall_nodes_in_last_computed_neighborhood(const F&f){ + for(int i=0; i + EdgeContractionGraph(const Tail&tail, const Head&head): + next_adjacency_in_ring(tail.image_count()), + union_find_parent(tail.image_count()), + out_arc_begin(tail.image_count()), + out_arc_end(tail.image_count()), + arc_head(tail.preimage_count()), + in_neighborhood(tail.image_count()), + neighborhood(tail.image_count()), + neighborhood_size(0) + { + assert(is_symmetric(tail, head)); + for(int i=0; i next_adjacency_in_ring; + ArrayIDFunc union_find_parent; + ArrayIDFunc out_arc_begin; + ArrayIDFunc out_arc_end; + ArrayIDFunc arc_head; + BitIDFunc in_neighborhood; + ArrayIDFunc neighborhood; + int neighborhood_size; +}; + +class NodeContractionGraph{ +public: + template + NodeContractionGraph(const Tail&tail, const Head&head): + g(tail, head), is_virtual(tail.image_count()){ + assert(is_symmetric(tail, head)); + is_virtual.fill(false); + } + + template + void forall_neighbors_then_contract_node(int v, const F&callback){ + g.compute_neighborhood_of(v); + g.forall_nodes_in_last_computed_neighborhood( + [&](int u){ + if(is_virtual(u)) + g.rewire_arcs_from_second_to_first(v, u); + } + ); + is_virtual.set(v, true); + g.compute_neighborhood_of(v); + g.forall_nodes_in_last_computed_neighborhood(callback); + } + +private: + EdgeContractionGraph g; + BitIDFunc is_virtual; +}; + +template +int compute_chordal_supergraph(const Tail&tail, const Head&head, const OnNewArc&on_new_arc){ + assert(is_symmetric(tail, head)); + + NodeContractionGraph g(tail, head); + int max_upward_degree = 0; + for(int x=0; x + SimpleNodeContractionAdjGraph(int node_count, const ArcList&arc_list): + g(node_count, arc_list), is_virtual(node_count, false), in_neighborhood(node_count, false){ + } + + int node_count()const{ + return g.node_count(); + } + + int was_node_contracted(int v)const{ + assert(0 <= v && v < node_count() && "v is out of bounds"); + return g.was_node_contracted(v) || is_virtual[v]; + } + + void contract_node(int v){ + assert(0 <= v && v < node_count() && "v is out of bounds"); + assert(!was_node_contracted(v)); + + is_virtual[v] = true; + for(auto h:g.out(v)) + if(is_virtual[h.target]) + g.contract_arc(v, h.target); + } + + std::vector out_followed_by_contract_node(int v){ + contract_node(v); + std::vector r = g.out(v); + if(r.size() == 1) + g.contract_arc(r[0].target, v); + return std::move(r); + } + + std::vectorout(int v)const{ + assert(0 <= v && v < node_count() && "v is out of bounds"); + if(was_node_contracted(v)) + return {}; + else{ + #ifdef EXPENSIVE_CONTRACTION_GRAPH_TESTS + for(auto x:in_neighborhood) + assert(!x); + #endif + std::vectorneighborhood; + for(auto u:g.out(v)){ + if(!is_virtual[u.target]){ + if(!in_neighborhood[u.target]){ + in_neighborhood[u.target] = true; + neighborhood.push_back(u); + } + }else{ + for(auto w:g.out(u.target)){ + assert(!is_virtual[w.target]); + if(w.target != v){ + if(!in_neighborhood[w.target]){ + in_neighborhood[w.target] = true; + neighborhood.push_back(w); + } + } + } + } + } + for(auto x:neighborhood) + in_neighborhood[x.target] = false; + #ifdef EXPENSIVE_CONTRACTION_GRAPH_TESTS + for(auto x:in_neighborhood) + assert(!x); + #endif + return std::move(neighborhood); + } + } + +private: + SimpleEdgeContractionAdjGraph g; + std::vectoris_virtual; + mutable std::vectorin_neighborhood; +}; + +template +std::vectorcompute_simple_contraction_hierarchy(const NodeList&node_list, const ArcList&arc_list){ + SimpleNodeContractionAdjGraph g(range_size(node_list), arc_list); + std::vectorshortcuts; + for(int v:node_list){ + for(auto u:g.out_followed_by_contract_node(v)) + shortcuts.push_back({v, u.target}); + } + + arc_sort(shortcuts.begin(), shortcuts.end()); + + return std::move(shortcuts); +}*/ + +#endif diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/count_range.h b/3rdParty/GPMC/flow-cutter-pace17/src/count_range.h new file mode 100644 index 00000000..991a0d25 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/count_range.h @@ -0,0 +1,47 @@ +#ifndef COUNT_RANGE_H +#define COUNT_RANGE_H + +#include "range.h" +#include +#include + +struct CountIterator{ + typedef int value_type; + typedef int difference_type; + typedef const int* pointer; + typedef const int& reference; + typedef std::random_access_iterator_tag iterator_category; + + CountIterator&operator++(){ ++n_; return *this;} + CountIterator operator++(int) {CountIterator tmp(*this); operator++(); return tmp;} + CountIterator&operator--(){ --n_; return *this;} + CountIterator operator--(int) {CountIterator tmp(*this); operator++(); return tmp;} + int operator*() const {return n_;} + + const int*operator->() const {return &n_;} + + int operator[](int o)const{return n_ + o;} + CountIterator&operator+=(CountIterator::difference_type o){n_ += o; return *this;} + CountIterator&operator-=(CountIterator::difference_type o){n_ -= o; return *this;} + + int n_; +}; + +inline bool operator==(CountIterator l, CountIterator r){return l.n_ == r.n_;} +inline bool operator!=(CountIterator l, CountIterator r){return l.n_ != r.n_;} +inline bool operator< (CountIterator l, CountIterator r){return l.n_ < r.n_;} +inline bool operator> (CountIterator l, CountIterator r){return l.n_ > r.n_;} +inline bool operator<=(CountIterator l, CountIterator r){return l.n_ <= r.n_;} +inline bool operator>=(CountIterator l, CountIterator r){return l.n_ >= r.n_;} + +inline CountIterator::difference_type operator-(CountIterator l, CountIterator r){return l.n_ - r.n_;} +inline CountIterator operator-(CountIterator l, CountIterator::difference_type r){return {l.n_ - r};} +inline CountIterator operator+(CountIterator l, CountIterator::difference_type r){return {l.n_ + r};} +inline CountIterator operator+(CountIterator::difference_type l, CountIterator r){return {l + r.n_};} + +typedef Range CountRange; + +inline CountRange count_range(int n){assert(n >= 0); return {CountIterator{0}, CountIterator{n}}; } +inline CountRange count_range(int begin, int end){assert(begin <= end);return {CountIterator{begin}, CountIterator{end}};} + +#endif diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/filter.h b/3rdParty/GPMC/flow-cutter-pace17/src/filter.h new file mode 100644 index 00000000..007fb3d4 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/filter.h @@ -0,0 +1,73 @@ +#ifndef FILTER_H +#define FILTER_H + +#include "tiny_id_func.h" + +template +int count_true(const Pred&p){ + int sum = 0; + for(int i=0; i +typename std::enable_if< + is_only_id_func::value, + ArrayIDFunc::type> +>::type keep_if(const Pred&p, int new_preimage_count, const IDFunc&f){ + assert(p.preimage_count() == f.preimage_count()); + assert(new_preimage_count == count_true(p)); + + ArrayIDFunc::type>result(new_preimage_count); + + int out = 0; + for(int in=0; in +typename std::enable_if< + is_id_id_func::value, + ArrayIDIDFunc +>::type keep_if(const Pred&p, int new_preimage_count, const IDFunc&f){ + assert(p.preimage_count() == f.preimage_count()); + assert(new_preimage_count == count_true(p)); + + ArrayIDIDFunc result(new_preimage_count, f.image_count()); + + int out = 0; + for(int in=0; in +ArrayIDIDFunc compute_keep_function(const Pred&pred, int new_image_count){ + ArrayIDIDFunc f(pred.preimage_count(), new_image_count); + int next_id = 0; + for(int i=0; i +ArrayIDIDFunc compute_inverse_keep_function(const Pred&pred, int new_image_count){ + ArrayIDIDFunc f(new_image_count, pred.preimage_count()); + int next_id = 0; + for(int i=0; i +#include +#include +#include +#include + +#include "flow_cutter_config.h" + +namespace flow_cutter{ + + template + struct Graph{ + Graph( + Tail tail, + Head head, + BackArc back_arc, + Capacity capacity, + OutArc out_arc + ): + tail(std::move(tail)), + head(std::move(head)), + back_arc(std::move(back_arc)), + capacity(std::move(capacity)), + out_arc(std::move(out_arc)){} + + Tail tail; + Head head; + BackArc back_arc; + Capacity capacity; + OutArc out_arc; + + int node_count()const{ + return tail.image_count(); + } + + int arc_count()const{ + return tail.preimage_count(); + } + }; + + struct TemporaryData{ + TemporaryData(){} + explicit TemporaryData(int node_count): + node_space(node_count){} + ArrayIDFuncnode_space; + }; + + template + Graph + make_graph( + Tail tail, Head head, BackArc back_arc, + Capacity capacity, OutArc out_arc + ){ + return {std::move(tail), std::move(head), std::move(back_arc), std::move(capacity), std::move(out_arc)}; + } + + template + Graph< + Tail, Head, BackArc, + ConstIntIDFunc<1>, + OutArc + > + make_graph( + Tail tail, Head head, + BackArc back_arc, OutArc out_arc + ){ + return { + std::move(tail), std::move(head), std::move(back_arc), + ConstIntIDFunc<1>(tail.preimage_count()), + std::move(out_arc) + }; + } + + class PseudoDepthFirstSearch{ + public: + template + void operator()( + const Graph&graph, TemporaryData&tmp, int source_node, + const WasNodeSeen&was_node_seen, const SeeNode&see_node, + const ShouldFollowArc&should_follow_arc, const OnNewArc&on_new_arc + )const{ + int stack_end = 1; + auto&stack = tmp.node_space; + stack[0] = source_node; + + while(stack_end != 0){ + int x = stack[--stack_end]; + for(auto xy : graph.out_arc(x)){ + on_new_arc(xy); + int y = graph.head(xy); + if(!was_node_seen(y)){ + if(should_follow_arc(xy)){ + if(!see_node(y)) + return; + stack[stack_end++] = y; + } + } + } + } + } + }; + + class BreadthFirstSearch{ + public: + template + void operator()( + const Graph&graph, TemporaryData&tmp, int source_node, + const WasNodeSeen&was_node_seen, const SeeNode&see_node, + const ShouldFollowArc&should_follow_arc, const OnNewArc&on_new_arc + )const{ + int queue_begin = 0, queue_end = 1; + auto&queue = tmp.node_space; + queue[0] = source_node; + while(queue_begin != queue_end){ + int x = queue[queue_begin++]; + for(auto xy : graph.out_arc(x)){ + on_new_arc(xy); + int y = graph.head(xy); + if(!was_node_seen(y)){ + if(should_follow_arc(xy)){ + if(!see_node(y)) + return; + queue[queue_end++] = y; + } + } + } + } + } + }; + + struct UnitFlow{ + UnitFlow(){} + explicit UnitFlow(int preimage_count):flow(preimage_count){} + + void clear(){ + flow.fill(1); + } + + int preimage_count()const{ + return flow.preimage_count(); + } + + template + void increase(const Graph&graph, int a){ + auto f = flow(a); + assert((f == 0 || f == 1) && "Flow is already maximum; can not be increased"); + assert(flow(graph.back_arc(a)) == 2-f && "Back arc has invalid flow"); + ++f; + flow.set(a, f); + flow.set(graph.back_arc(a), 2-f); + } + + template + void decrease(const Graph&graph, int a){ + auto f = flow(a); + assert((f == 1 || f == 2) && "Flow is already minimum; can not be decreased"); + assert(flow(graph.back_arc(a)) == 2-f && "Back arc has invalid flow"); + --f; + flow.set(a, f); + flow.set(graph.back_arc(a), 2-f); + } + + int operator()(int a)const{ + return static_cast(flow(a))-1; + } + + void swap(UnitFlow&o){ + flow.swap(o.flow); + } + + TinyIntIDFunc<2>flow; + }; + + class BasicNodeSet{ + public: + template + explicit BasicNodeSet(const Graph&graph): + node_count_inside_(0), + inside_flag(graph.node_count()), + extra_node(-1){} + + void clear(){ + node_count_inside_ = 0; + inside_flag.fill(false); + } + + bool can_grow()const{ + return extra_node != -1; + } + + template + void grow( + const Graph&graph, + TemporaryData&tmp, + const SearchAlgorithm&search_algo, + const OnNewNode&on_new_node, // on_new_node(x) is called for every node x. If it returns false then the search is stopped, if it returns true it continues + const ShouldFollowArc&should_follow_arc, // is called for a subset of arcs and must say whether the arc sould be followed + const OnNewArc&on_new_arc // on_new_arc(xy) is called for ever arc xy with x in the set + ){ + assert(can_grow()); + + auto see_node = [&](int x){ + assert(!inside_flag(x)); + inside_flag.set(x, true); + ++this->node_count_inside_; + return on_new_node(x); + }; + + auto was_node_seen = [&](int x){ + return inside_flag(x); + }; + + search_algo(graph, tmp, extra_node, was_node_seen, see_node, should_follow_arc, on_new_arc); + extra_node = -1; + } + + template + void set_extra_node(const Graph&graph, int x){ + assert(!inside_flag(x)); + assert(extra_node == -1); + inside_flag.set(x, true); + ++node_count_inside_; + extra_node = x; + } + + bool is_inside(int x) const { + return inside_flag(x); + } + + int node_count_inside() const { + return node_count_inside_; + } + + int max_node_count_inside() const { + return inside_flag.preimage_count(); + } + + private: + int node_count_inside_; + BitIDFunc inside_flag; + int extra_node; + }; + + class ReachableNodeSet; + + class AssimilatedNodeSet{ + friend class ReachableNodeSet; + public: + template + explicit AssimilatedNodeSet(const Graph&graph): + node_set(graph){} + + void clear(){ + node_set.clear(); + front.clear(); + } + + template + void set_extra_node(const Graph&graph, int x){ + node_set.set_extra_node(graph, x); + } + + bool can_grow()const{ + return node_set.can_grow(); + } + + template + void grow( + const Graph&graph, + TemporaryData&tmp, + const SearchAlgorithm&search_algo, + const OnNewNode&on_new_node, // on_new_node(x) is called for every node x. If it returns false then the search is stopped, if it returns true it continues + const ShouldFollowArc&should_follow_arc, // is called for a subset of arcs and must say whether the arc sould be followed + const OnNewArc&on_new_arc, // on_new_arc(xy) is called for ever arc xy with x in the set + const HasFlow&has_flow + ){ + auto my_on_new_arc = [&](int xy){ + if(has_flow(xy)) + front.push_back(xy); + on_new_arc(xy); + }; + + node_set.grow(graph, tmp, search_algo, on_new_node, should_follow_arc, my_on_new_arc); + } + + bool is_inside(int x) const { + return node_set.is_inside(x); + } + + int node_count_inside() const { + return node_set.node_count_inside(); + } + + int max_node_count_inside() const { + return node_set.max_node_count_inside(); + } + + template + void shrink_cut_front(const Graph&graph){ + front.erase( + std::remove_if( + front.begin(), front.end(), + [&](int xy){ return node_set.is_inside(graph.head(xy)); } + ), + front.end() + ); + } + + const std::vector&get_cut_front() const { + return front; + } + + private: + BasicNodeSet node_set; + std::vectorfront; + }; + + class ReachableNodeSet{ + public: + template + explicit ReachableNodeSet(const Graph&graph): + node_set(graph), predecessor(graph.node_count()){} + + void reset(const AssimilatedNodeSet&other){ + node_set = other.node_set; + } + + void clear(){ + node_set.clear(); + } + + template + void set_extra_node(const Graph&graph, int x){ + node_set.set_extra_node(graph, x); + } + + bool can_grow()const{ + return node_set.can_grow(); + } + + template + void grow( + const Graph&graph, + TemporaryData&tmp, + const SearchAlgorithm&search_algo, + const OnNewNode&on_new_node, // on_new_node(x) is called for every node x. If it returns false then the search is stopped, if it returns true it continues + const ShouldFollowArc&should_follow_arc, // is called for a subset of arcs and must say whether the arc sould be followed + const OnNewArc&on_new_arc // on_new_arc(xy) is called for ever arc xy with x in the set + ){ + auto my_should_follow_arc = [&](int xy){ + predecessor[graph.head(xy)] = xy; + return should_follow_arc(xy); + }; + + node_set.grow(graph, tmp, search_algo, on_new_node, my_should_follow_arc, on_new_arc); + } + + bool is_inside(int x) const { + return node_set.is_inside(x); + } + + int node_count_inside() const { + return node_set.node_count_inside(); + } + + int max_node_count_inside() const { + return node_set.max_node_count_inside(); + } + + template + void forall_arcs_in_path_to(const Graph&graph, const IsSource&is_source, int target, const OnNewArc&on_new_arc){ + int x = target; + while(!is_source(x)){ + on_new_arc(predecessor[x]); + x = graph.tail(predecessor[x]); + } + } + + private: + BasicNodeSet node_set; + ArrayIDFuncpredecessor; + }; + + struct SourceTargetPair{ + int source, target; + }; + + struct CutterStateDump{ + BitIDFunc source_assimilated, target_assimilated, source_reachable, target_reachable, flow; + }; + + class BasicCutter{ + public: + template + explicit BasicCutter(const Graph&graph): + assimilated{AssimilatedNodeSet(graph), AssimilatedNodeSet(graph)}, + reachable{ReachableNodeSet(graph), ReachableNodeSet(graph)}, + flow(graph.arc_count()), + cut_available(false) + {} + + template + void init(const Graph&graph, TemporaryData&tmp, const SearchAlgorithm&search_algo, SourceTargetPair p){ + assimilated[source_side].clear(); + reachable[source_side].clear(); + assimilated[target_side].clear(); + reachable[target_side].clear(); + flow.clear(); + + assimilated[source_side].set_extra_node(graph, p.source); + reachable[source_side].set_extra_node(graph, p.source); + assimilated[target_side].set_extra_node(graph, p.target); + reachable[target_side].set_extra_node(graph, p.target); + + grow_reachable_sets(graph, tmp, search_algo, source_side); + grow_assimilated_sets(graph, tmp, search_algo); + + cut_available = true; + check_invariants(graph); + } + + CutterStateDump dump_state()const{ + return { + id_func( + assimilated[source_side].max_node_count_inside(), + [&](int x){ + return assimilated[source_side].is_inside(x); + } + ), + id_func( + assimilated[target_side].max_node_count_inside(), + [&](int x){ + return assimilated[target_side].is_inside(x); + } + ), + id_func( + assimilated[source_side].max_node_count_inside(), + [&](int x){ + return reachable[source_side].is_inside(x); + } + ), + id_func( + assimilated[target_side].max_node_count_inside(), + [&](int x){ + return reachable[target_side].is_inside(x); + } + ), + id_func( + flow.preimage_count(), + [&](int xy){ + return flow(xy) != 0; + } + ) + }; + } + + //! Returns true if a new cut was found. Returns false if no cut was found. False implies that no cut + //! will be found in the future. Repeatly calling this function after it returned false does not do + //! anything. + template + bool advance(const Graph&graph, TemporaryData&tmp, const SearchAlgorithm&search_algo, const ScorePierceNode&score_pierce_node){ + assert(cut_available); + + check_invariants(graph); + int side = get_current_cut_side(); + if(assimilated[side].node_count_inside() >= graph.node_count()/2){ + cut_available = false; + return false; + } + + int pierce_node = select_pierce_node(graph, side, score_pierce_node); + + if(pierce_node == -1){ + cut_available = false; + return false; + } + + assert(!assimilated[1-side].is_inside(pierce_node)); + + assimilated[side].set_extra_node(graph, pierce_node); + reachable[side].set_extra_node(graph, pierce_node); + + grow_reachable_sets(graph, tmp, search_algo, side); + grow_assimilated_sets(graph, tmp, search_algo); + check_invariants(graph); + cut_available = true; + return true; + } + + bool is_cut_available()const{ + return cut_available; + } + + template + bool does_next_advance_increase_cut(const Graph&graph, const ScorePierceNode&score_pierce_node){ + int side = get_current_cut_side(); + + if(assimilated[side].node_count_inside() >= graph.node_count()/2){ + return true; + } + + + int pierce_node = select_pierce_node(graph, side, score_pierce_node); + + if(pierce_node == -1) + return true; + else if(reachable[1-side].is_inside(pierce_node)) + return true; + else + return false; + } + + bool is_on_smaller_side(int x)const{ + return assimilated[get_current_cut_side()].is_inside(x); + } + + static const int source_side = 0; + static const int target_side = 1; + + int get_current_cut_side()const{ + if( + reachable[source_side].node_count_inside() == assimilated[source_side].node_count_inside() && ( + reachable[target_side].node_count_inside() != assimilated[target_side].node_count_inside() || + assimilated[source_side].node_count_inside() <= assimilated[target_side].node_count_inside() + ) + ) + return source_side; + else + return target_side; + } + + int get_current_smaller_cut_side_size()const{ + return assimilated[get_current_cut_side()].node_count_inside(); + } + + const std::vector&get_current_cut()const{ + return assimilated[get_current_cut_side()].get_cut_front(); + } + + int get_assimilated_node_count()const{ + return assimilated[source_side].node_count_inside() + assimilated[target_side].node_count_inside(); + } + + private: + template + int select_pierce_node(const Graph&graph, int side, const ScorePierceNode&score_pierce_node){ + + int pierce_node = -1; + int max_score = std::numeric_limits::min(); + for(auto xy : assimilated[side].get_cut_front()){ + int y = graph.head(xy); + if(!assimilated[1-side].is_inside(y)){ + int score = score_pierce_node(y, side, reachable[1-side].is_inside(y)); + + if(score > max_score){ + max_score = score; + pierce_node = y; + } + } + } + + return pierce_node; + } + + template + bool is_saturated(const Graph&graph, int direction, int xy){ + if(direction == target_side) + xy = graph.back_arc(xy); + return graph.capacity(xy) == flow(xy); + } + + + template + void grow_reachable_sets(const Graph&graph, TemporaryData&tmp, const SearchAlgorithm&search_algo, int pierced_side){ + + int my_source_side = pierced_side; + int my_target_side = 1-pierced_side; + + assert(reachable[pierced_side].can_grow()); + + auto is_forward_saturated = [&,this](int xy){ + return this->is_saturated(graph, my_source_side, xy); + }; + + auto is_backward_saturated = [&,this](int xy){ + return this->is_saturated(graph, my_target_side, xy); + }; + + auto is_source = [&](int x){ + return assimilated[my_source_side].is_inside(x); + }; + + auto is_target = [&](int x){ + return assimilated[my_target_side].is_inside(x); + }; + + auto increase_flow = [&](int xy){ + if(pierced_side == source_side) + flow.increase(graph, xy); + else + flow.decrease(graph, xy); + }; + + bool was_flow_augmented = false; + + int target_hit; + do{ + target_hit = -1; + auto on_new_node = [&](int x){ + if(is_target(x)){ + target_hit = x; + return false; + } else + return true; + }; + auto should_follow_arc = [&](int xy){ return !is_forward_saturated(xy); }; + auto on_new_arc = [](int xy){}; + reachable[my_source_side].grow(graph, tmp, search_algo, on_new_node, should_follow_arc, on_new_arc); + + if(target_hit != -1){ + check_flow_conservation(graph); + reachable[my_source_side].forall_arcs_in_path_to(graph, is_source, target_hit, increase_flow); + check_flow_conservation(graph); + reachable[my_source_side].reset(assimilated[my_source_side]); + + was_flow_augmented = true; + check_flow_conservation(graph); + } + }while(target_hit != -1); + + if(was_flow_augmented){ + reachable[my_target_side].reset(assimilated[my_target_side]); + auto on_new_node = [&](int x){return true;}; + auto should_follow_arc = [&](int xy){ return !is_backward_saturated(xy); }; + auto on_new_arc = [](int xy){}; + reachable[my_target_side].grow(graph, tmp, search_algo, on_new_node, should_follow_arc, on_new_arc); + } + + } + + template + void grow_assimilated_sets(const Graph&graph, TemporaryData&tmp, const SearchAlgorithm&search_algo){ + auto is_forward_saturated = [&,this](int xy){ + return this->is_saturated(graph, source_side, xy); + }; + + auto is_backward_saturated = [&,this](int xy){ + return this->is_saturated(graph, target_side, xy); + }; + + if(reachable[source_side].node_count_inside() <= reachable[target_side].node_count_inside()){ + auto on_new_node = [&](int x){return true;}; + auto should_follow_arc = [&](int xy){ return !is_forward_saturated(xy); }; + auto on_new_arc = [](int xy){}; + auto has_flow = [&](int xy){ return flow(xy) != 0; }; + assimilated[source_side].grow(graph, tmp, search_algo, on_new_node, should_follow_arc, on_new_arc, has_flow); + assimilated[source_side].shrink_cut_front(graph); + }else{ + auto on_new_node = [&](int x){return true;}; + auto should_follow_arc = [&](int xy){ return !is_backward_saturated(xy); }; + auto on_new_arc = [](int xy){}; + auto has_flow = [&](int xy){ return flow(xy) != 0; }; + assimilated[target_side].grow(graph, tmp, search_algo, on_new_node, should_follow_arc, on_new_arc, has_flow); + assimilated[target_side].shrink_cut_front(graph); + } + } + + template + void check_flow_conservation(const Graph&graph){ + #ifndef NDEBUG + for(int x=0; x + void check_invariants(const Graph&graph){ + #ifndef NDEBUG + for(int side = 0; side < 2; ++side) + assert(assimilated[side].node_count_inside() > 0 && "Each side must contain at least one node"); + + for(int x=0; x + static void compute_hop_distance_from(const Graph&graph, TemporaryData&tmp, int source, ArrayIDFunc&dist){ + dist.fill(std::numeric_limits::max()); + dist[source] = 0; + + auto was_node_seen = [&](int x){return false;}; + auto see_node = [](int x){ return true; }; + auto should_follow_arc = [&](int xy){ + if(dist(graph.tail(xy)) < dist(graph.head(xy)) - 1){ + dist[graph.head(xy)] = dist(graph.tail(xy))+1; + return true; + }else{ + return false; + } + }; + auto on_new_arc = [&](int xy){}; + BreadthFirstSearch()(graph, tmp, source, was_node_seen, see_node, should_follow_arc, on_new_arc); + } + public: + template + DistanceAwareCutter(const Graph&graph): + cutter(graph), + node_dist{ArrayIDFunc{graph.node_count()}, ArrayIDFunc{graph.node_count()}}{} + + template + void init(const Graph&graph, TemporaryData&tmp, const SearchAlgorithm&search_algo, DistanceType dist_type, SourceTargetPair p, int random_seed){ + cutter.init(graph, tmp, search_algo, p); + + rng.seed(random_seed); + + switch(dist_type){ + case DistanceType::hop_distance: + compute_hop_distance_from(graph, tmp, p.source, node_dist[source_side]); + compute_hop_distance_from(graph, tmp, p.target, node_dist[target_side]); + break; + case DistanceType::no_distance: + break; + default: + assert(false); + break; + } + } + + CutterStateDump dump_state()const{ + return cutter.dump_state(); + } + + template + bool advance(const Graph&graph, TemporaryData&tmp, const SearchAlgorithm&search_algo, const ScorePierceNode&score_pierce_node){ + auto my_score_pierce_node = [&](int x, int side, bool causes_augmenting_path){ + return score_pierce_node(x, side, causes_augmenting_path, node_dist[side](x), node_dist[1-side](x)); + }; + return cutter.advance(graph, tmp, search_algo, my_score_pierce_node); + } + + bool is_cut_available()const{ + return cutter.is_cut_available(); + } + + template + bool does_next_advance_increase_cut(const Graph&graph, const ScorePierceNode&score_pierce_node){ + auto my_score_pierce_node = [&](int x, int side, bool causes_augmenting_path){ + return score_pierce_node(x, side, causes_augmenting_path, node_dist[side](x), node_dist[1-side](x)); + }; + return cutter.does_next_advance_increase_cut(graph, my_score_pierce_node); + } + + static const int source_side = BasicCutter::source_side; + static const int target_side = BasicCutter::target_side; + + int get_current_cut_side()const{ + return cutter.get_current_cut_side(); + } + + int get_current_smaller_cut_side_size()const{ + return cutter.get_current_smaller_cut_side_size(); + } + + const std::vector&get_current_cut()const{ + return cutter.get_current_cut(); + } + + int get_assimilated_node_count()const{ + return cutter.get_assimilated_node_count(); + } + + bool is_on_smaller_side(int x)const{ + return cutter.is_on_smaller_side(x); + } + + bool is_empty()const{ + return node_dist[0].preimage_count() == 0; + } + private: + BasicCutter cutter; + ArrayIDFuncnode_dist[2]; + std::mt19937 rng; + }; + + class MultiCutter{ + public: + MultiCutter(){} + + template + void init( + const Graph&graph, TemporaryData&tmp, + const SearchAlgorithm&search_algo, const ScorePierceNode&score_pierce_node, DistanceType dist_type, + const std::vector&p, int random_seed, bool should_skip_non_maximum_sides = true + ){ + while(cutter_list.size() > p.size()) + cutter_list.pop_back(); // can not use resize because that requires default constructor... + while(cutter_list.size() < p.size()) + cutter_list.emplace_back(graph); + + for(int i=0; i<(int)p.size(); ++i){ + auto&x = cutter_list[i]; + auto my_score_pierce_node = [&](int x, int side, bool causes_augmenting_path, int source_dist, int target_dist){ + return score_pierce_node(x, side, causes_augmenting_path, source_dist, target_dist, i); + }; + + x.init(graph, tmp, search_algo, dist_type, p[i], random_seed+1+i); + if(should_skip_non_maximum_sides) + while(!x.does_next_advance_increase_cut(graph, my_score_pierce_node)) + x.advance(graph, tmp, search_algo, my_score_pierce_node); + } + + int best_cutter_id = -1; + int best_cut_size = std::numeric_limits::max(); + int best_cutter_weight = 0; + + for(int i=0; i<(int)p.size(); ++i){ + auto&x = cutter_list[i]; + if( + (int)x.get_current_cut().size() < best_cut_size + || ( + (int)x.get_current_cut().size() == best_cut_size && + x.get_current_smaller_cut_side_size() > best_cutter_weight + ) + ){ + best_cutter_id = i; + best_cut_size = x.get_current_cut().size(); + best_cutter_weight = x.get_current_smaller_cut_side_size(); + } + } + + current_cutter_id = best_cutter_id; + current_smaller_side_size = cutter_list[current_cutter_id].get_current_smaller_cut_side_size(); + } + + CutterStateDump dump_state()const{ + if(cutter_list.size() != 1) + throw std::runtime_error("Can only dump the cutter state if a single instance is run"); + return cutter_list[0].dump_state(); + } + + template + bool advance(const Graph&graph, TemporaryData&tmp, const SearchAlgorithm&search_algo, const ScorePierceNode&score_pierce_node, bool should_skip_non_maximum_sides = true){ + if(graph.node_count() /2 == get_current_smaller_cut_side_size()) + return false; + + int current_cut_size = cutter_list[current_cutter_id].get_current_cut().size(); + for(;;){ + for(int i=0; i<(int)cutter_list.size(); ++i){ + auto x = std::move(cutter_list[i]); + auto my_score_pierce_node = [&](int x, int side, bool causes_augmenting_path, int source_dist, int target_dist){ + return score_pierce_node(x, side, causes_augmenting_path, source_dist, target_dist, i); + }; + if(x.is_cut_available()){ + if((int)x.get_current_cut().size() == current_cut_size){ + assert(x.does_next_advance_increase_cut(graph, my_score_pierce_node)); + if(x.advance(graph, tmp, search_algo, my_score_pierce_node)){ + assert((int)x.get_current_cut().size() > current_cut_size); + while(!x.does_next_advance_increase_cut(graph, my_score_pierce_node)){ + if(!x.advance(graph, tmp, search_algo, my_score_pierce_node)) + break; + if(!should_skip_non_maximum_sides) + break; + } + } + } + } + + cutter_list[i] = std::move(x); + } + + int next_cut_size = std::numeric_limits::max(); + for(auto&x:cutter_list) + if(x.is_cut_available()) + min_to(next_cut_size, (int)x.get_current_cut().size()); + + if(next_cut_size == std::numeric_limits::max()) + return false; + + + int best_cutter_weight = 0; + int best_cutter_id = -1; + for(int i=0; i<(int)cutter_list.size(); ++i){ + if(cutter_list[i].is_cut_available()){ + if( + (int)cutter_list[i].get_current_cut().size() == next_cut_size && + cutter_list[i].get_current_smaller_cut_side_size() > best_cutter_weight + ){ + best_cutter_id = i; + best_cutter_weight = cutter_list[i].get_current_smaller_cut_side_size(); + } + } + } + + assert(best_cutter_id != -1); + + current_cut_size = next_cut_size; + + if(best_cutter_weight <= current_smaller_side_size) + continue; + + current_cutter_id = best_cutter_id; + current_smaller_side_size = cutter_list[current_cutter_id].get_current_smaller_cut_side_size(); + return true; + } + } + + int get_current_smaller_cut_side_size()const{ + return current_smaller_side_size; + } + + bool is_on_smaller_side(int x)const{ + return cutter_list[current_cutter_id].is_on_smaller_side(x); + } + + const std::vector&get_current_cut()const{ + return cutter_list[current_cutter_id].get_current_cut(); + } + + int get_current_cutter_id()const{ + return current_cutter_id; + } + + private: + std::vectorcutter_list; + int current_smaller_side_size; + int current_cutter_id; + }; + + struct PierceNodeScore{ + static constexpr unsigned hash_modulo = ((1u<<31u)-1u); + unsigned hash_factor, hash_offset; + + PierceNodeScore(Config config): config(config){ + std::mt19937 gen; + gen.seed(config.random_seed); + gen(); + hash_factor = gen() % hash_modulo; + hash_offset = gen() % hash_modulo; + } + + Config config; + + + int operator()(int x, int side, bool causes_augmenting_path, int source_dist, int target_dist, int cutter_id)const{ + + auto random_number = [&]{ + if(side == BasicCutter::source_side) + return (hash_factor * (unsigned)(x<<1) + hash_offset) % hash_modulo; + else + return (hash_factor * ((unsigned)(x<<1)+1) + hash_offset) % hash_modulo; + }; + + int score; + switch(config.pierce_rating){ + case Config::PierceRating::max_target_minus_source_hop_dist: + score = target_dist - source_dist; + break; + case Config::PierceRating::max_target_hop_dist: + score = target_dist; + break; + case Config::PierceRating::min_source_hop_dist: + score = -source_dist; + break; + case Config::PierceRating::oldest: + score = 0; + break; + case Config::PierceRating::random: + score = random_number(); + break; + + default: + assert(false); + score = 0; + } + switch(config.avoid_augmenting_path){ + case Config::AvoidAugmentingPath::avoid_and_pick_best: + if(causes_augmenting_path) + score -= 1000000000; + break; + case Config::AvoidAugmentingPath::do_not_avoid: + break; + case Config::AvoidAugmentingPath::avoid_and_pick_oldest: + if(causes_augmenting_path) + score = -1000000000; + break; + case Config::AvoidAugmentingPath::avoid_and_pick_random: + if(causes_augmenting_path) + score = random_number() - 1000000000; + break; + default: + assert(false); + score = 0; + } + return score; + } + }; + + template + class SimpleCutter{ + public: + SimpleCutter(const Graph&graph, Config config): + graph(graph), tmp(graph.node_count()), config(config){ + } + + void init(const std::vector&p, int random_seed){ + DistanceType dist_type; + + if( + config.pierce_rating == Config::PierceRating::min_source_hop_dist || + config.pierce_rating == Config::PierceRating::max_target_hop_dist || + config.pierce_rating == Config::PierceRating::max_target_minus_source_hop_dist + ) + dist_type = DistanceType::hop_distance; + else + dist_type = DistanceType::no_distance; + + switch(config.graph_search_algorithm){ + case Config::GraphSearchAlgorithm::pseudo_depth_first_search: + cutter.init(graph, tmp, PseudoDepthFirstSearch(), PierceNodeScore(config), dist_type, p, random_seed, config.skip_non_maximum_sides == Config::SkipNonMaximumSides::skip); + break; + + case Config::GraphSearchAlgorithm::breadth_first_search: + cutter.init(graph, tmp, BreadthFirstSearch(), PierceNodeScore(config), dist_type, p, random_seed, config.skip_non_maximum_sides == Config::SkipNonMaximumSides::skip); + break; + + case Config::GraphSearchAlgorithm::depth_first_search: + throw std::runtime_error("depth first search is not yet implemented"); + default: + assert(false); + + } + } + + bool advance(){ + + switch(config.graph_search_algorithm){ + case Config::GraphSearchAlgorithm::pseudo_depth_first_search: + return cutter.advance(graph, tmp, PseudoDepthFirstSearch(), PierceNodeScore(config), config.skip_non_maximum_sides == Config::SkipNonMaximumSides::skip); + + case Config::GraphSearchAlgorithm::breadth_first_search: + return cutter.advance(graph, tmp, BreadthFirstSearch(), PierceNodeScore(config), config.skip_non_maximum_sides == Config::SkipNonMaximumSides::skip); + + case Config::GraphSearchAlgorithm::depth_first_search: + throw std::runtime_error("depth first search is not yet implemented"); + default: + assert(false); + return false; + } + } + + CutterStateDump dump_state()const{ + return cutter.dump_state(); + } + + int get_current_smaller_cut_side_size()const{ + return cutter.get_current_smaller_cut_side_size(); + } + + bool is_on_smaller_side(int x)const{ + return cutter.is_on_smaller_side(x); + } + + const std::vector&get_current_cut()const{ + return cutter.get_current_cut(); + } + + int get_current_cutter_id()const{ + return cutter.get_current_cutter_id(); + } + + private: + const Graph&graph; + TemporaryData tmp; + MultiCutter cutter; + Config config; + }; + + template + SimpleCutter make_simple_cutter(const Graph&graph, Config config){ + return SimpleCutter(graph, config); + } + + std::vectorselect_random_source_target_pairs(int node_count, int cutter_count, int seed){ + std::vectorp(cutter_count); + std::mt19937 rng(seed); + for(auto&x:p){ + do{ + // We do not use std::uniform_distribution because it produces difference results for different compilers + x.source = rng()%node_count; + x.target = rng()%node_count; + }while(x.source == x.target); + } + return p; + } +} + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/flow_cutter_config.h b/3rdParty/GPMC/flow-cutter-pace17/src/flow_cutter_config.h new file mode 100644 index 00000000..68e56cdb --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/flow_cutter_config.h @@ -0,0 +1,188 @@ + +#ifndef FLOW_CUTTER_CONFIG_H +#define FLOW_CUTTER_CONFIG_H +#include +#include +#include +#include + +namespace flow_cutter{ + struct Config{ + int cutter_count; + int random_seed; + int max_cut_size; + float min_small_side_size; + + enum class SkipNonMaximumSides{ + skip, + no_skip + }; + SkipNonMaximumSides skip_non_maximum_sides; + + enum class SeparatorSelection{ + node_min_expansion, + edge_min_expansion, + node_first, + edge_first + }; + SeparatorSelection separator_selection; + + enum class GraphSearchAlgorithm{ + pseudo_depth_first_search, + breadth_first_search, + depth_first_search + }; + GraphSearchAlgorithm graph_search_algorithm; + + enum class AvoidAugmentingPath{ + avoid_and_pick_best, + do_not_avoid, + avoid_and_pick_oldest, + avoid_and_pick_random + }; + AvoidAugmentingPath avoid_augmenting_path; + + enum class PierceRating{ + max_target_minus_source_hop_dist, + min_source_hop_dist, + max_target_hop_dist, + random, + oldest + }; + PierceRating pierce_rating; + + Config(): + cutter_count(3), + random_seed(5489), + max_cut_size(1000), + min_small_side_size(0.2), + skip_non_maximum_sides(SkipNonMaximumSides::skip), + separator_selection(SeparatorSelection::node_min_expansion), + graph_search_algorithm(GraphSearchAlgorithm::pseudo_depth_first_search), + avoid_augmenting_path(AvoidAugmentingPath::avoid_and_pick_best), + pierce_rating(PierceRating::max_target_minus_source_hop_dist){} + + void set(const std::string&var, const std::string&val){ + int val_id = -1; + if(var == "SkipNonMaximumSides" || var == "skip_non_maximum_sides"){ + if(val == "skip" || val_id == static_cast(SkipNonMaximumSides::skip)) + skip_non_maximum_sides = SkipNonMaximumSides::skip; + else if(val == "no_skip" || val_id == static_cast(SkipNonMaximumSides::no_skip)) + skip_non_maximum_sides = SkipNonMaximumSides::no_skip; + else throw std::runtime_error("Unknown config value "+val+" for variable SkipNonMaximumSides; valid are skip, no_skip"); + }else if(var == "SeparatorSelection" || var == "separator_selection"){ + if(val == "node_min_expansion" || val_id == static_cast(SeparatorSelection::node_min_expansion)) + separator_selection = SeparatorSelection::node_min_expansion; + else if(val == "edge_min_expansion" || val_id == static_cast(SeparatorSelection::edge_min_expansion)) + separator_selection = SeparatorSelection::edge_min_expansion; + else if(val == "node_first" || val_id == static_cast(SeparatorSelection::node_first)) + separator_selection = SeparatorSelection::node_first; + else if(val == "edge_first" || val_id == static_cast(SeparatorSelection::edge_first)) + separator_selection = SeparatorSelection::edge_first; + else throw std::runtime_error("Unknown config value "+val+" for variable SeparatorSelection; valid are node_min_expansion, edge_min_expansion, node_first, edge_first"); + }else if(var == "GraphSearchAlgorithm" || var == "graph_search_algorithm"){ + if(val == "pseudo_depth_first_search" || val_id == static_cast(GraphSearchAlgorithm::pseudo_depth_first_search)) + graph_search_algorithm = GraphSearchAlgorithm::pseudo_depth_first_search; + else if(val == "breadth_first_search" || val_id == static_cast(GraphSearchAlgorithm::breadth_first_search)) + graph_search_algorithm = GraphSearchAlgorithm::breadth_first_search; + else if(val == "depth_first_search" || val_id == static_cast(GraphSearchAlgorithm::depth_first_search)) + graph_search_algorithm = GraphSearchAlgorithm::depth_first_search; + else throw std::runtime_error("Unknown config value "+val+" for variable GraphSearchAlgorithm; valid are pseudo_depth_first_search, breadth_first_search, depth_first_search"); + }else if(var == "AvoidAugmentingPath" || var == "avoid_augmenting_path"){ + if(val == "avoid_and_pick_best" || val_id == static_cast(AvoidAugmentingPath::avoid_and_pick_best)) + avoid_augmenting_path = AvoidAugmentingPath::avoid_and_pick_best; + else if(val == "do_not_avoid" || val_id == static_cast(AvoidAugmentingPath::do_not_avoid)) + avoid_augmenting_path = AvoidAugmentingPath::do_not_avoid; + else if(val == "avoid_and_pick_oldest" || val_id == static_cast(AvoidAugmentingPath::avoid_and_pick_oldest)) + avoid_augmenting_path = AvoidAugmentingPath::avoid_and_pick_oldest; + else if(val == "avoid_and_pick_random" || val_id == static_cast(AvoidAugmentingPath::avoid_and_pick_random)) + avoid_augmenting_path = AvoidAugmentingPath::avoid_and_pick_random; + else throw std::runtime_error("Unknown config value "+val+" for variable AvoidAugmentingPath; valid are avoid_and_pick_best, do_not_avoid, avoid_and_pick_oldest, avoid_and_pick_random"); + }else if(var == "PierceRating" || var == "pierce_rating"){ + if(val == "max_target_minus_source_hop_dist" || val_id == static_cast(PierceRating::max_target_minus_source_hop_dist)) + pierce_rating = PierceRating::max_target_minus_source_hop_dist; + else if(val == "min_source_hop_dist" || val_id == static_cast(PierceRating::min_source_hop_dist)) + pierce_rating = PierceRating::min_source_hop_dist; + else if(val == "max_target_hop_dist" || val_id == static_cast(PierceRating::max_target_hop_dist)) + pierce_rating = PierceRating::max_target_hop_dist; + else if(val == "random" || val_id == static_cast(PierceRating::random)) + pierce_rating = PierceRating::random; + else if(val == "oldest" || val_id == static_cast(PierceRating::oldest)) + pierce_rating = PierceRating::oldest; + else throw std::runtime_error("Unknown config value "+val+" for variable PierceRating; valid are max_target_minus_source_hop_dist, min_source_hop_dist, max_target_hop_dist, random, oldest"); + }else if(var == "cutter_count"){ + int x = std::stoi(val); + if(!(x>0)) + throw std::runtime_error("Value for \"cutter_count\" must fullfill \"x>0\""); + cutter_count = x; + }else if(var == "random_seed"){ + random_seed = std::stoi(val); + }else if(var == "max_cut_size"){ + int x = std::stoi(val); + if(!(x>=1)) + throw std::runtime_error("Value for \"max_cut_size\" must fullfill \"x>=1\""); + max_cut_size = x; + }else if(var == "min_small_side_size"){ + float x = std::stof(val); + if(!(0.5>=x&&x>=0.0)) + throw std::runtime_error("Value for \"min_small_side_size\" must fullfill \"0.5>=x&&x>=0.0\""); + min_small_side_size = x; + }else throw std::runtime_error("Unknown config variable "+var+"; valid are SkipNonMaximumSides, SeparatorSelection, GraphSearchAlgorithm, AvoidAugmentingPath, PierceRating, cutter_count, random_seed, max_cut_size, min_small_side_size"); + } + std::string get(const std::string&var)const{ + if(var == "SkipNonMaximumSides" || var == "skip_non_maximum_sides"){ + if(skip_non_maximum_sides == SkipNonMaximumSides::skip) return "skip"; + else if(skip_non_maximum_sides == SkipNonMaximumSides::no_skip) return "no_skip"; + else {assert(false); return "";} + }else if(var == "SeparatorSelection" || var == "separator_selection"){ + if(separator_selection == SeparatorSelection::node_min_expansion) return "node_min_expansion"; + else if(separator_selection == SeparatorSelection::edge_min_expansion) return "edge_min_expansion"; + else if(separator_selection == SeparatorSelection::node_first) return "node_first"; + else if(separator_selection == SeparatorSelection::edge_first) return "edge_first"; + else {assert(false); return "";} + }else if(var == "GraphSearchAlgorithm" || var == "graph_search_algorithm"){ + if(graph_search_algorithm == GraphSearchAlgorithm::pseudo_depth_first_search) return "pseudo_depth_first_search"; + else if(graph_search_algorithm == GraphSearchAlgorithm::breadth_first_search) return "breadth_first_search"; + else if(graph_search_algorithm == GraphSearchAlgorithm::depth_first_search) return "depth_first_search"; + else {assert(false); return "";} + }else if(var == "AvoidAugmentingPath" || var == "avoid_augmenting_path"){ + if(avoid_augmenting_path == AvoidAugmentingPath::avoid_and_pick_best) return "avoid_and_pick_best"; + else if(avoid_augmenting_path == AvoidAugmentingPath::do_not_avoid) return "do_not_avoid"; + else if(avoid_augmenting_path == AvoidAugmentingPath::avoid_and_pick_oldest) return "avoid_and_pick_oldest"; + else if(avoid_augmenting_path == AvoidAugmentingPath::avoid_and_pick_random) return "avoid_and_pick_random"; + else {assert(false); return "";} + }else if(var == "PierceRating" || var == "pierce_rating"){ + if(pierce_rating == PierceRating::max_target_minus_source_hop_dist) return "max_target_minus_source_hop_dist"; + else if(pierce_rating == PierceRating::min_source_hop_dist) return "min_source_hop_dist"; + else if(pierce_rating == PierceRating::max_target_hop_dist) return "max_target_hop_dist"; + else if(pierce_rating == PierceRating::random) return "random"; + else if(pierce_rating == PierceRating::oldest) return "oldest"; + else {assert(false); return "";} + }else if(var == "cutter_count"){ + return std::to_string(cutter_count); + }else if(var == "random_seed"){ + return std::to_string(random_seed); + }else if(var == "max_cut_size"){ + return std::to_string(max_cut_size); + }else if(var == "min_small_side_size"){ + return std::to_string(min_small_side_size); + }else throw std::runtime_error("Unknown config variable "+var+"; valid are SkipNonMaximumSides,SeparatorSelection,GraphSearchAlgorithm,AvoidAugmentingPath,PierceRating, cutter_count, random_seed, max_cut_size, min_small_side_size"); + } + std::string get_config()const{ + std::ostringstream out; + out + << std::setw(30) << "SkipNonMaximumSides" << " : " << get("SkipNonMaximumSides") << '\n' + << std::setw(30) << "SeparatorSelection" << " : " << get("SeparatorSelection") << '\n' + << std::setw(30) << "GraphSearchAlgorithm" << " : " << get("GraphSearchAlgorithm") << '\n' + << std::setw(30) << "AvoidAugmentingPath" << " : " << get("AvoidAugmentingPath") << '\n' + << std::setw(30) << "PierceRating" << " : " << get("PierceRating") << '\n' + << std::setw(30) << "cutter_count" << " : " << get("cutter_count") << '\n' + << std::setw(30) << "random_seed" << " : " << get("random_seed") << '\n' + << std::setw(30) << "max_cut_size" << " : " << get("max_cut_size") << '\n' + << std::setw(30) << "min_small_side_size" << " : " << get("min_small_side_size") << '\n'; + return out.str(); + } + + }; +} +#endif diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/greedy_order.cpp b/3rdParty/GPMC/flow-cutter-pace17/src/greedy_order.cpp new file mode 100644 index 00000000..87aeadb4 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/greedy_order.cpp @@ -0,0 +1,184 @@ +#include "greedy_order.h" +#include "array_id_func.h" +#include "tiny_id_func.h" +#include "permutation.h" +#include "heap.h" +#include + +ArrayIDFunc> build_dyn_array(const ArrayIDIDFunc&tail, const ArrayIDIDFunc&head){ + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + ArrayIDFunc> neighbors(node_count); + + for(int i=0; i +struct NullAssign{ +public: + NullAssign&operator=(const T&){ + return *this; + } +}; + +template +struct CountOutputIterator{ + typedef T value_type; + typedef int difference_type; + typedef T*pointer; + typedef T&reference; + typedef std::output_iterator_tag iterator_category; + + NullAssign operator*()const{ + return {}; + } + + CountOutputIterator(int&n): + n(&n){}; + + CountOutputIterator&operator++(){ + ++*n; + return *this; + } + + CountOutputIterator&operator++(int){ + ++*n; + return *this; + } + + int*n; +}; + + +template +Iter3 set_union_and_remove_element( + Iter1 a, Iter1 a_end, + Iter2 b, Iter2 b_end, + Iter3 out, + const T&remove_element1, const T&remove_element2 +){ + while(a != a_end && b != b_end){ + if(*a < *b){ + if(*a != remove_element1 && *a != remove_element2) + *out++ = *a; + ++a; + }else if(*a > *b){ + if(*b != remove_element1 && *b != remove_element2) + *out++ = *b; + ++b; + }else if(*a == *b){ + if(*a != remove_element1 && *a != remove_element2) + *out++ = *a; + ++b; + ++a; + } + } + + while(a != a_end){ + if(*a != remove_element1 && *a != remove_element2) + *out++ = *a; + ++a; + } + + while(b != b_end){ + if(*b != remove_element1 && *b != remove_element2) + *out++ = *b; + ++b; + } + + return out; +} + +std::vector contract_node(ArrayIDFunc>&graph, int node){ + std::vectortmp; + for(int x:graph(node)){ + tmp.clear(); + set_union_and_remove_element( + graph(node).begin(), graph(node).end(), + graph(x).begin(), graph(x).end(), + std::back_inserter(tmp), + node, + x + ); + graph[x].swap(tmp); + } + + return std::move(graph[node]); +} + +int compute_number_of_shortcuts_added_if_contracted(const ArrayIDFunc>&graph, int node){ + int added = 0; + for(int x:graph(node)){ + std::set_difference( + graph(node).begin(), graph(node).end(), + graph(x).begin(), graph(x).end(), + CountOutputIterator(added) + ); + --added; + } + + added /= 2; + + return added; +} + + +ArrayIDIDFunc compute_greedy_min_degree_order(const ArrayIDIDFunc&tail, const ArrayIDIDFunc&head){ + const int node_count = tail.image_count(); + + auto g = build_dyn_array(tail, head); + + min_id_heap q(node_count); + + for(int x=0; x q(node_count); + + for(int x=0; x +#include +#include +#include +#include + +//#define INTERNAL_HEAP_CHECKS + +template> +class kway_min_id_heap{ +public: + typedef keyT key_type; + typedef key_orderT key_order_type; + + explicit kway_min_id_heap(int id_count, key_order_type order = key_order_type()): + heap_end(0), heap(id_count), id_pos(id_count, -1), order(std::move(order)), contained_flags(id_count, false){ + check_id_invariants(); + check_order_invariants(); + } + + explicit kway_min_id_heap(key_order_type order = key_order_type()): + heap_end(0), order(std::move(order)){ + check_id_invariants(); + check_order_invariants(); + } + + //! Takes a range of std::pair elements (or any other struct with first and second) + //! and builds a heap containing these elements. + template + void fill(const Range&range){ + clear(); + + for(auto r:range){ + assert(0 <= r.first && r.first < (int)id_pos.size() && "range must contain valid id"); + + heap[heap_end].id = r.first; + heap[heap_end].key = r.second; + + id_pos[r.first] = heap_end; + contained_flags[r.first] = true; + ++heap_end; + } + + rebuild_heap(); + + check_id_invariants(); + check_order_invariants(); + } + + + void clear(){ + //heap_end = 0; + //std::fill(contained_flags.begin(), contained_flags.end(), false); + + for(int i=0; i=0; --i) + move_down(i); + } + + void move_up(int pos){ + if(pos != 0){ + key_type key = std::move(heap[pos].key); + int id = heap[pos].id; + + int parent_pos = parent(pos); + while(order(key, heap[parent_pos].key)){ + heap[pos].id = heap[parent_pos].id; + heap[pos].key = std::move(heap[parent_pos].key); + id_pos[heap[parent_pos].id] = pos; + + pos = parent_pos; + if(pos == 0) + break; + parent_pos = parent(pos); + } + + heap[pos].id = id; + heap[pos].key = std::move(key); + id_pos[id] = pos; + } + } + + void move_down(int pos){ + key_type key = std::move(heap[pos].key); + int id = heap[pos].id; + + for(;;){ + int begin = std::min(heap_end, children_begin(pos)); + int end = std::min(heap_end, children_end(pos)); + + if(begin == end) + break; + + int min_child_pos = begin; + for(int i=begin+1; iheap; + std::vectorid_pos; + key_order_type order; + std::vector contained_flags; + + void check_id_invariants()const{ + #ifdef INTERNAL_HEAP_CHECKS + for(int i=0; i> +class kway_max_id_heap{ +public: + typedef keyT key_type; + typedef key_orderT key_order_type; + + explicit kway_max_id_heap(int id_count, key_order_type order = key_order_type()) + :heap(id_count, inverted_order(std::move(order))){} + + explicit kway_max_id_heap(key_order_type order = key_order_type()) + :heap(inverted_order(std::move(order))){} + + //! Removes all elements from the heap. + void clear(){ + heap.clear(); + } + + //! Initializes the heap with a range over pair elements. + //! This function has linear running time, whereas repeated push operations have a total running time in O(n log n) + template + void fill(const Range&range){ + heap.fill(range); + } + + //! Rebuilds the queue with a different order + void reorder(key_order_type new_order){ + heap.reorder(inverted_order(std::move(new_order))); + } + + void reset(int new_id_count = 0, key_order_type new_order = key_order_type()){ + heap.reset(new_id_count, inverted_order(std::move(new_order))); + } + + void reset(key_order_type new_order){ + heap.reset(std::move(new_order)); + } + + bool empty()const{ + return heap.empty(); + } + + int size()const{ + return heap.size(); + } + + bool contains(int id)const{ + return heap.contains(id); + } + + const key_type&get_key(int id)const{ + return heap.get_key(id); + } + + void push(int id, key_type key){ + heap.push(id, std::move(key)); + } + + //! Returns true if the element moved its position within the heap. + bool push_or_decrease_key(int id, key_type key){ + return heap.push_or_increase_key(id, std::move(key)); + } + + //! Returns true if the element moved its position within the heap. + bool push_or_increase_key(int id, key_type key){ + return heap.push_or_decrease_key(id, std::move(key)); + } + + //! Returns true if the element moved its position within the heap. + bool push_or_set_key(int id, key_type key){ + return heap.push_or_set_key(id, std::move(key)); + } + + key_type peek_max_key()const{ + return heap.peek_min_key(); + } + + int peek_max_id()const{ + return heap.peek_min_id(); + } + + int pop(){ + return heap.pop(); + } + +private: + struct inverted_order{ + inverted_order(){} + inverted_order(key_order_type order):order(std::move(order)){} + bool operator()(const key_type&l, const key_type&r){ + return order(r, l); + } + key_order_type order; + }; + kway_min_id_heapheap; +}; + +const int standard_heap_arity = 4; + +template> +class min_id_heap : public kway_min_id_heap{ +private: + typedef kway_min_id_heap super_type; +public: + typedef typename super_type::key_order_type key_order_type; + + explicit min_id_heap(int id_count, key_order_type order = key_order_type()) + :super_type(id_count, std::move(order)){} + + explicit min_id_heap(key_order_type order = key_order_type()) + :super_type(std::move(order)){} +}; + +template> +class max_id_heap : public kway_max_id_heap{ +private: + typedef kway_max_id_heap super_type; +public: + typedef typename super_type::key_order_type key_order_type; + + explicit max_id_heap(int id_count, key_order_type order = key_order_type()) + :super_type(id_count, std::move(order)){} + + explicit max_id_heap(key_order_type order = key_order_type()) + :super_type(std::move(order)){} +}; + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/histogram.h b/3rdParty/GPMC/flow-cutter-pace17/src/histogram.h new file mode 100644 index 00000000..eadb33ff --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/histogram.h @@ -0,0 +1,66 @@ +#ifndef HISTOGRAM_H +#define HISTOGRAM_H + +#include "id_func_traits.h" +#include "array_id_func.h" +#include + +template +typename std::enable_if< + is_id_id_func::value, + ArrayIDFunc +>::type compute_histogram(const IDIDFunc&f){ + ArrayIDFunch(f.image_count()); + h.fill(0); + for(int i=0; i +typename std::enable_if< + is_id_func::value, + int +>::type max_histogram_id(const IDFunc&h){ + assert(h.preimage_count() != 0); + + typename id_func_image_type::type max_element = h(0); + int max_id = 0; + for(int i=1; i +typename std::enable_if< + is_id_func::value, + int +>::type min_histogram_id(const IDFunc&h){ + assert(h.preimage_count() != 0); + + typename id_func_image_type::type min_element = h(0); + int min_id = 0; + for(int i=1; i element){ + min_element = element; + min_id = i; + } + } + #ifndef NDEBUG + for(int i=0; i= h(min_id)); + #endif + return min_id; +} + +#endif diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/id_func.h b/3rdParty/GPMC/flow-cutter-pace17/src/id_func.h new file mode 100644 index 00000000..d1a42290 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/id_func.h @@ -0,0 +1,119 @@ +#ifndef ID_FUNC_H +#define ID_FUNC_H + +#include +#include +#include "id_func_traits.h" +#include + +template +struct LambdaIDFunc{ + int preimage_count()const{return preimage_count_;} + + typename id_func_image_type::type operator()(int id)const{ + assert(0 <= id && id <= preimage_count_ && "id out of bounds"); + return func_(id); + } + + int preimage_count_; + Func func_; +}; + +template +typename std::enable_if< + has_int_call_operator::value, + LambdaIDFunc +>::type id_func(int preimage_count, Func func){ + return {preimage_count, std::move(func)}; +} + +template +struct LambdaIDIDFunc{ + static_assert(std::is_same::type>::value, "IDIDFunc must return int"); + + int preimage_count()const{return id_func_.preimage_count();} + int image_count()const{return image_count_;} + + int operator()(int preimage)const{ + assert(0 <= preimage && preimage <= preimage_count() && "preimage out of bounds"); + int image = id_func_(preimage); + assert(0 <= image && image <= image_count() && "image out of bounds"); + return image; + } + + int image_count_; + IDFunc id_func_; + +}; + +template +typename std::enable_if< + is_id_func::value, + LambdaIDIDFunc +>::type id_id_func(int image_count, IDFunc func){ + return {image_count, std::move(func)}; +} + +template +typename std::enable_if< + has_int_call_operator::value, + LambdaIDIDFunc> +>::type id_id_func(int preimage_count, int image_count, Func func){ + return {image_count, id_func(preimage_count, std::move(func))}; +} + +template +struct ConstIntIDFunc{ + explicit ConstIntIDFunc(int preimage_count):preimage_count_(preimage_count){} + + int preimage_count()const{ + return preimage_count_; + } + + int operator()(int)const{ + return value; + } + + int preimage_count_; +}; + +template +class ConstRefIDIDFunc{ +public: + ConstRefIDIDFunc():ptr(0){} + ConstRefIDIDFunc(const IDIDFunc&x):ptr(&x){} + + int preimage_count()const{ return ptr->preimage_count(); } + int image_count()const{return ptr->image_count(); } + int operator()(int x)const{return (*ptr)(x);} + +private: + const IDIDFunc*ptr; +}; + +template +ConstRefIDIDFuncmake_const_ref_id_id_func(const IDIDFunc&f){ + return {f}; +} + +template +class ConstRefIDFunc{ +public: + ConstRefIDFunc():ptr(0){} + ConstRefIDFunc(const IDFunc&x):ptr(&x){} + + int preimage_count()const{ return ptr->preimage_count(); } + decltype(std::declval()(0)) operator()(int x)const{return (*ptr)(x);} + +private: + const IDFunc*ptr; +}; + +template +ConstRefIDFuncmake_const_ref_id_func(const IDFunc&f){ + return {f}; +} + + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/id_func_traits.h b/3rdParty/GPMC/flow-cutter-pace17/src/id_func_traits.h new file mode 100644 index 00000000..96f008ef --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/id_func_traits.h @@ -0,0 +1,76 @@ +#ifndef ID_FUNC_TRAITS_H +#define ID_FUNC_TRAITS_H + +#include + +template +struct id_func_image_type{ + typedef typename std::decay()(0))>::type type; +}; + +#define MAKE_TYPED_HAS_TRAIT(HAS, TYPE, EXPR)\ + templatestd::false_type HAS##_impl2(...);\ + templatestd::true_type HAS##_impl2(typename std::decay::type*);\ + templateauto HAS##_impl1()->decltype(HAS##_impl2(static_cast(nullptr)));\ + templatestruct HAS : std::enable_if())>::type{}; + +#define MAKE_UNTYPED_HAS_TRAIT(HAS, EXPR)\ + templatestd::false_type HAS##_impl2(...);\ + templatestd::true_type HAS##_impl2(typename std::decay::type*);\ + templateauto HAS##_impl1()->decltype(HAS##_impl2(nullptr));\ + templatestruct HAS : std::enable_if())>::type{}; + +#define F std::declval() +#define IT typename id_func_image_type::type +#define I std::declval() + +// F is an instance of the function, FT is the function type, I is an instance of the function's image type and IT is the image type + +MAKE_TYPED_HAS_TRAIT (has_preimage_count, int, F.preimage_count() ) +MAKE_TYPED_HAS_TRAIT (has_image_count, int, F.image_count() ) +MAKE_UNTYPED_HAS_TRAIT(has_int_call_operator, F(0) ) +MAKE_TYPED_HAS_TRAIT (has_int_int_call_operator, int, F(0) ) +MAKE_TYPED_HAS_TRAIT (has_set, void, F.set(0, I) ) +MAKE_TYPED_HAS_TRAIT (has_fill, void, F.fill(I) ) +MAKE_TYPED_HAS_TRAIT (has_move, IT, F.move(0) ) +MAKE_TYPED_HAS_TRAIT (has_set_image_count, void, F.set_image_count(0) ) + +#define MAKE_BOOL_TRAIT(NAME, EXPR)\ + template struct NAME : std::integral_constant{}; + +MAKE_BOOL_TRAIT(is_id_func, + has_preimage_count::value + && has_int_call_operator::value +) +MAKE_BOOL_TRAIT(is_id_id_func, + has_preimage_count::value + && has_image_count::value && + has_int_int_call_operator::value +) +MAKE_BOOL_TRAIT(is_only_id_func, + !is_id_id_func::value + && is_id_func::value +) +MAKE_BOOL_TRAIT(is_mutable_id_func, + is_id_func::value + && has_set::value + && has_fill::value + && has_move::value +) +MAKE_BOOL_TRAIT(is_mutable_id_id_func, + is_id_id_func::value + && has_set::value + && has_fill::value + && has_move::value + && has_set_image_count::value +) + +#undef F +#undef IT +#undef I +#undef MAKE_TYPED_HAS_TRAIT +#undef MAKE_UNTYPED_HAS_TRAIT +#undef MAKE_BOOL_TRAIT + + +#endif diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/id_multi_func.h b/3rdParty/GPMC/flow-cutter-pace17/src/id_multi_func.h new file mode 100644 index 00000000..fb949f3e --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/id_multi_func.h @@ -0,0 +1,146 @@ +#ifndef ID_MULTI_FUNC_H +#define ID_MULTI_FUNC_H + +#include "array_id_func.h" +#include "count_range.h" +#include "range.h" +#include "chain.h" +#include + +struct RangeIDIDMultiFunc{ + int preimage_count()const{ return range_begin.preimage_count()-1; } + int image_count()const{ return range_begin(preimage_count()); } + + CountRange operator()(int id)const{ + assert(0 <= id && id < preimage_count() && "id out of bounds"); + return count_range(range_begin(id), range_begin(id+1)); + } + + ArrayIDFuncrange_begin; +}; + + +template +struct ArrayIDMultiFunc{ + int preimage_count()const{ return preimage_to_intermediate.preimage_count(); } + + Rangeoperator()(int id){ + assert(0 <= id && id < preimage_count() && "id out of bounds"); + return { + intermediate_to_image.begin() + *std::begin(preimage_to_intermediate(id)), + intermediate_to_image.begin() + *std::end(preimage_to_intermediate(id)) + }; + } + + Rangeoperator()(int id)const{ + assert(0 <= id && id < preimage_count() && "id out of bounds"); + return { + intermediate_to_image.begin() + *std::begin(preimage_to_intermediate(id)), + intermediate_to_image.begin() + *std::end(preimage_to_intermediate(id)) + }; + } + + RangeIDIDMultiFunc preimage_to_intermediate; + ArrayIDFuncintermediate_to_image; +}; + + +struct ArrayIDIDMultiFunc{ + int image_count()const{ return intermediate_to_image.image_count(); } + int preimage_count()const{ return preimage_to_intermediate.preimage_count(); } + + Rangeoperator()(int id){ + assert(0 <= id && id < preimage_count() && "id out of bounds"); + return { + intermediate_to_image.begin() + *std::begin(preimage_to_intermediate(id)), + intermediate_to_image.begin() + *std::end(preimage_to_intermediate(id)) + }; + } + + Rangeoperator()(int id)const{ + assert(0 <= id && id < preimage_count() && "id out of bounds"); + return { + intermediate_to_image.begin() + *std::begin(preimage_to_intermediate(id)), + intermediate_to_image.begin() + *std::end(preimage_to_intermediate(id)) + }; + } + + RangeIDIDMultiFunc preimage_to_intermediate; + ArrayIDIDFunc intermediate_to_image; +}; + +//! Inverts an id-id function f. In this context we have two ID types: preimage IDs +//! and image IDs. f maps preimage IDs onto image IDs. This function computes a +//! id-id multi function g that maps image IDs onto preimage ID ranges. +//! g(x) is a range of all y such that f(y) = x ordered increasing by y. +template +ArrayIDIDMultiFunc invert_id_id_func(const IDIDFunc&f){ + ArrayIDIDMultiFunc g = { + RangeIDIDMultiFunc{ + ArrayIDFunc{f.image_count()+1} + }, + ArrayIDIDFunc{f.preimage_count(), f.preimage_count()} + }; + + auto&begin = g.preimage_to_intermediate.range_begin; + begin.fill(0); + + for(int i=0; i +RangeIDIDMultiFunc invert_sorted_id_id_func(const IDIDFunc&f){ + assert(std::is_sorted(f.begin(), f.end()) && "f is not sorted"); + + RangeIDIDMultiFunc h = {ArrayIDFunc{f.image_count()+1}}; + + auto&begin = h.range_begin; + begin.fill(0); + + for(int i=0; i +ArrayIDIDMultiFunc compute_successor_function(const Tail&tail, const Head&head){ + auto x = invert_id_id_func(tail); + x.intermediate_to_image = chain(x.intermediate_to_image, head); + return x; // NRVO +} + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/id_sort.h b/3rdParty/GPMC/flow-cutter-pace17/src/id_sort.h new file mode 100644 index 00000000..4c038d82 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/id_sort.h @@ -0,0 +1,39 @@ +#ifndef ID_SORT_H +#define ID_SORT_H + +#include "array_id_func.h" +#include + +template +void stable_sort_copy_by_id( + InIter in_begin, InIter in_end, + OutIter out_iter, + int id_count, const GetID&get_id +){ + ArrayIDFuncpos(id_count); + pos.fill(0); + for(InIter i=in_begin; i!=in_end; ++i) + ++pos[get_id(*i)]; + + int sum = 0; + for(int i=0; i +void stable_sort_copy_by_id( + InIter in_begin, InIter in_end, + OutIter out_iter, + const GetID&get_id +){ + stable_sort_copy_by_id(in_begin, in_end, out_iter, get_id.image_count(), get_id); +} + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/io_helper.h b/3rdParty/GPMC/flow-cutter-pace17/src/io_helper.h new file mode 100644 index 00000000..0d970c20 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/io_helper.h @@ -0,0 +1,36 @@ +#ifndef IO_HELPER_H +#define IO_HELPER_H + +#include +#include +#include +#include +#include + +template +void save_text_file(const std::string&file_name, const SaveFunc&save, Args&&...args){ + if(file_name == "-"){ + save(std::cout, std::forward(args)...); + std::cout << std::flush; + } else if(file_name == "-null"){ + } else { + std::ofstream out(file_name); + if(!out) + throw std::runtime_error("Could not open "+file_name+" for text writing"); + save(out, std::forward(args)...); + } +} + +template +auto load_uncached_text_file(const std::string&file_name, const LoadFunc&load)->decltype(load(std::cin)){ + if(file_name == "-"){ + return load(std::cin); + } else { + std::ifstream in(file_name); + if(!in) + throw std::runtime_error("Could not load "+file_name+" for text reading"); + return load(in); + } +} + +#endif diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/list_graph.cpp b/3rdParty/GPMC/flow-cutter-pace17/src/list_graph.cpp new file mode 100644 index 00000000..5ab27e00 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/list_graph.cpp @@ -0,0 +1,65 @@ +#include "list_graph.h" +#include "io_helper.h" +#include "multi_arc.h" +#include "id_multi_func.h" + +#include +#include +#include +#include + +static +ListGraph load_pace_graph_impl(std::istream&in){ + ListGraph graph; + std::string line; + int line_num = 0; + int next_arc = 0; + + bool was_header_read = false; + while(std::getline(in, line)){ + ++line_num; + if(line.empty() || line[0] == 'c') + continue; + + std::istringstream lin(line); + if(!was_header_read){ + was_header_read = true; + std::string p, sp; + int node_count; + int arc_count; + if(!(lin >> p >> sp >> node_count >> arc_count)) + throw std::runtime_error("Can not parse header in pace file."); + if(p != "p" || sp != "tw" || node_count < 0 || arc_count < 0) + throw std::runtime_error("Invalid header in pace file."); + graph = ListGraph(node_count, 2*arc_count); + }else{ + int h, t; + if(!(lin >> t >> h)) + throw std::runtime_error("Can not parse line num "+std::to_string(line_num)+" \""+line+"\" in pace file."); + --h; + --t; + if(h < 0 || h >= graph.node_count() || t < 0 || t >= graph.node_count()) + throw std::runtime_error("Invalid arc in line num "+std::to_string(line_num)+" \""+line+"\" in pace file."); + if(next_arc < graph.arc_count()){ + graph.head[next_arc] = h; + graph.tail[next_arc] = t; + } + ++next_arc; + if(next_arc < graph.arc_count()){ + graph.head[next_arc] = t; + graph.tail[next_arc] = h; + } + ++next_arc; + } + } + + if(next_arc != graph.arc_count()) + throw std::runtime_error("The arc count in the header ("+std::to_string(graph.arc_count())+") does not correspond with the actual number of arcs ("+std::to_string(next_arc)+")."); + + return graph; // NVRO +} + +ListGraph uncached_load_pace_graph(const std::string&file_name){ + return load_uncached_text_file(file_name, load_pace_graph_impl); +} + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/list_graph.h b/3rdParty/GPMC/flow-cutter-pace17/src/list_graph.h new file mode 100644 index 00000000..245c40ef --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/list_graph.h @@ -0,0 +1,23 @@ +#ifndef LIST_GRAPH_H +#define LIST_GRAPH_H + +#include "array_id_func.h" + +#include +#include + +struct ListGraph{ + ListGraph()=default; + ListGraph(int node_count, int arc_count) + :head(arc_count, node_count), tail(arc_count, node_count){} + + int node_count()const{ return head.image_count(); } + int arc_count()const{ return head.preimage_count(); } + + ArrayIDIDFunc head, tail; +}; + +ListGraph uncached_load_pace_graph(const std::string&file_name); + + +#endif diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/min_max.h b/3rdParty/GPMC/flow-cutter-pace17/src/min_max.h new file mode 100644 index 00000000..5bac645a --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/min_max.h @@ -0,0 +1,75 @@ +#ifndef MIN_MAX_H +#define MIN_MAX_H + +#include +#include +#include "id_func_traits.h" + +template +void min_to(T&x, T y){ + if(y < x) + x = std::move(y); +} + +template +void max_to(T&x, T y){ + if(y > x) + x = std::move(y); +} + +template +void sort_ref_args(T&x, T&y){ + if(y < x) + std::swap(x,y); +} + +template +typename id_func_image_type::type min_over_id_func(const F&f){ + assert(f.preimage_count() != 0); + typename id_func_image_type::type result = f(0); + for(int i=1; i +typename id_func_image_type::type max_over_id_func(const F&f){ + assert(f.preimage_count() != 0); + typename id_func_image_type::type result = f(0); + for(int i=1; i +int min_preimage_over_id_func(const F&f){ + assert(f.preimage_count() != 0); + int preimage = 0; + typename id_func_image_type::type m = f(0); + for(int i=1; i +int max_preimage_over_id_func(const F&f){ + assert(f.preimage_count() != 0); + int preimage = 0; + typename id_func_image_type::type m = f(0); + for(int i=1; i +BitIDFunc identify_non_multi_arcs(const Tail&tail, const Head&head){ + const int arc_count = tail.preimage_count(); + auto arc_list = sort_arcs_first_by_tail_second_by_head(tail, head); + BitIDFunc is_non_multi_arc(arc_count); + if(arc_count > 0){ + is_non_multi_arc.set(arc_list[0], true); + for(int i=1; i +bool is_symmetric(const Tail&tail, const Head&head){ + const int arc_count = tail.preimage_count(); + auto forward_arc_list = sort_arcs_first_by_tail_second_by_head(tail, head); + auto backward_arc_list = sort_arcs_first_by_tail_second_by_head(head, tail); + + for(int i=0; i +class SymmetricHead{ +public: + SymmetricHead(Tail tail, Head head): + tail(std::move(tail)), head(std::move(head)){} + + int preimage_count()const{ return 2*tail.preimage_count(); } + int image_count()const {return tail.image_count(); } + + int operator()(int x)const{ + if(x < tail.preimage_count()) + return head(x); + else + return tail(x - tail.preimage_count()); + } +private: + Tail tail; + Head head; +}; + +template +SymmetricHeadmake_symmetric_head(Tail tail, Head head){ + return {std::move(tail), std::move(head)}; +} + +template +class SymmetricTail{ +public: + SymmetricTail(Tail tail, Head head): + tail(std::move(tail)), head(std::move(head)){} + + int preimage_count()const{ return 2*tail.preimage_count(); } + int image_count()const {return tail.image_count(); } + + int operator()(int x)const{ + if(x < tail.preimage_count()) + return tail(x); + else + return head(x - tail.preimage_count()); + } +private: + Tail tail; + Head head; +}; + +template +SymmetricTailmake_symmetric_tail(Tail tail, Head head){ + return {std::move(tail), std::move(head)}; +} + +template +bool has_multi_arcs(const Tail&tail, const Head&head){ + return count_true(identify_non_multi_arcs(tail, head)) != tail.preimage_count(); +} + +template +bool is_loop_free(const Tail&tail, const Head&head){ + for(int i=0; iy two new inter arcs x_out -> y_in and y_in -> x_out are created + //! For each node x two new intra arcs x_out -> x_in and x_in -> x_out are created + //! Every in to out arc has capacity 1 and every out to in arc has capacity 0. + //! + + namespace expanded_graph{ + inline int expanded_node_count(int original_node_count){ return 2*original_node_count; } + inline int expanded_arc_count(int original_node_count, int original_arc_count){ return 2*(original_node_count+original_arc_count); } + inline int expanded_node_to_original_node(int x){ return x/2; } + inline int original_node_to_expanded_node(int x, bool is_out){ return 2*x+is_out; } + inline bool get_expanded_node_out_flag(int x){ return x&1; } + inline bool is_expanded_intra_arc(int x, int original_arc_count){ return x >= 2*original_arc_count; } + inline bool is_expanded_inter_arc(int x, int original_arc_count){ return x < 2*original_arc_count; } + inline bool get_expanded_arc_tail_out_flag(int x){return x&1;} + inline int expanded_inter_arc_to_original_arc(int x, int original_arc_count){ (void)original_arc_count; return x/2; } + inline int original_arc_to_expanded_inter_arc(int x, bool tail_out_flag, int original_arc_count){ return 2*x+tail_out_flag; } + inline int expanded_intra_arc_to_original_node(int x, int original_arc_count){ (void)original_arc_count; return x/2-original_arc_count; } + inline int original_node_to_expanded_intra_arc(int x, bool tail_out_flag, int original_arc_count){ return 2*(original_arc_count+x)+tail_out_flag; } + + template + struct Tail{ + int original_node_count, original_arc_count; + OriginalTail original_tail; + + int preimage_count()const{return expanded_arc_count(original_node_count, original_arc_count);} + int image_count()const{return expanded_node_count(original_node_count);} + + int operator()(int a)const{ + if(is_expanded_intra_arc(a, original_arc_count)){ + return original_node_to_expanded_node(expanded_intra_arc_to_original_node(a, original_arc_count), get_expanded_arc_tail_out_flag(a)); + }else{ + return original_node_to_expanded_node(original_tail(expanded_inter_arc_to_original_arc(a, original_arc_count)), get_expanded_arc_tail_out_flag(a)); + } + } + }; + + template + Tailtail(int original_node_count, int original_arc_count, OriginalTail original_tail){ + return {original_node_count, original_arc_count, std::move(original_tail)}; + } + + template + struct Head{ + int original_node_count, original_arc_count; + OriginalHead original_head; + + int preimage_count()const{return expanded_arc_count(original_node_count, original_arc_count);} + int image_count()const{return expanded_node_count(original_node_count);} + + int operator()(int a)const{ + if(is_expanded_intra_arc(a, original_arc_count)){ + return original_node_to_expanded_node(expanded_intra_arc_to_original_node(a, original_arc_count), !get_expanded_arc_tail_out_flag(a)); + }else{ + return original_node_to_expanded_node(original_head(expanded_inter_arc_to_original_arc(a, original_arc_count)), !get_expanded_arc_tail_out_flag(a)); + } + } + }; + + template + Headhead(int original_node_count, int original_arc_count, OriginalHead original_head){ + return {original_node_count, original_arc_count, std::move(original_head)}; + } + + template + struct BackArc{ + int original_node_count, original_arc_count; + OriginalBackArc original_back_arc; + + int preimage_count()const{return expanded_arc_count(original_node_count, original_arc_count);} + int image_count()const{return expanded_arc_count(original_node_count, original_arc_count);} + + int operator()(int a)const{ + if(is_expanded_intra_arc(a, original_arc_count)){ + return original_node_to_expanded_intra_arc(expanded_intra_arc_to_original_node(a, original_arc_count), !get_expanded_arc_tail_out_flag(a), original_arc_count); + }else{ + return original_arc_to_expanded_inter_arc(original_back_arc(expanded_inter_arc_to_original_arc(a, original_arc_count)), !get_expanded_arc_tail_out_flag(a), original_arc_count); + } + } + }; + + template + BackArcback_arc(int original_node_count, int original_arc_count, OriginalBackArc original_back_arc){ + return {original_node_count, original_arc_count, std::move(original_back_arc)}; + } + + struct Capacity{ + int original_node_count, original_arc_count; + + int preimage_count()const{return expanded_arc_count(original_node_count, original_arc_count);} + + int operator()(int a)const{ + if(is_expanded_intra_arc(a, original_arc_count)){ + return !get_expanded_arc_tail_out_flag(a); + }else{ + return get_expanded_arc_tail_out_flag(a); + } + } + }; + + Capacity capacity(int original_node_count, int original_arc_count){ + return {original_node_count, original_arc_count}; + } + + template + struct OutArcIter{ + + typedef typename std::decay()(0)))>::type OriginalOutArcIter; + + typedef int value_type; + typedef int difference_type; + typedef const int* pointer; + typedef const int& reference; + typedef std::forward_iterator_tag iterator_category; + + OutArcIter(){} + + OutArcIter(int intra_arc, bool node_out_flag, OriginalOutArcIter base_iter): + intra_arc(intra_arc), node_out_flag(node_out_flag), base_iter(base_iter){} + + OutArcIter&operator++(){ + if(intra_arc != -1) + intra_arc = -1; + else + ++base_iter; + return *this; + } + + OutArcIter operator++(int) { + OutArcIter tmp(*this); + operator++(); + return tmp; + } + + int operator*()const{ + if(intra_arc != -1) + return intra_arc; + else + return 2*(*base_iter) + node_out_flag; + } + + int dummy; // To whom ever defined the ackward operator-> semantics: Skrew you! + const int*operator->() const { + dummy = *this; + return &dummy; + } + + int intra_arc; + bool node_out_flag; + OriginalOutArcIter base_iter; + + friend bool operator==(OutArcIter l, OutArcIter r){ + return l.base_iter == r.base_iter && l.intra_arc == r.intra_arc && l.node_out_flag == r.node_out_flag; + } + + friend bool operator!=(OutArcIter l, OutArcIter r){ + return !(l == r); + } + }; + + template + struct OutArc{ + int original_node_count, original_arc_count; + OriginalOutArc original_out_arc; + + int preimage_count()const{return expanded_node_count(original_node_count);} + + Range> operator()(int x)const{ + int original_x = expanded_node_to_original_node(x); + bool out_flag = get_expanded_node_out_flag(x); + auto r = original_out_arc(original_x); + return Range>{ + OutArcIter{original_node_to_expanded_intra_arc(original_x, out_flag, original_arc_count), out_flag, std::begin(r)}, + OutArcIter{-1, out_flag, std::end(r)} + }; + } + }; + + template + OutArcout_arc(int original_node_count, int original_arc_count, OriginalOutArc original_out_arc){ + return {original_node_count, original_arc_count, std::move(original_out_arc)}; + } + + + template + Graph< + expanded_graph::Tail, + expanded_graph::Head, + expanded_graph::BackArc, + expanded_graph::Capacity, + expanded_graph::OutArc + > + make_graph(Tail tail, Head head, BackArc back_arc, OutArc out_arc){ + int node_count = tail.image_count(), arc_count = tail.preimage_count(); + return{ + expanded_graph::tail(node_count, arc_count, std::move(tail)), + expanded_graph::head(node_count, arc_count, std::move(head)), + expanded_graph::back_arc(node_count, arc_count, std::move(back_arc)), + expanded_graph::capacity(node_count, arc_count), + expanded_graph::out_arc(node_count, arc_count, std::move(out_arc)) + }; + } + + struct MixedCut{ + std::vectorarcs, nodes; + }; + + inline + MixedCut expanded_cut_to_original_mixed_cut(const std::vector&expanded_cut, int original_arc_count){ + MixedCut original_cut; + + for(auto x:expanded_cut){ + if(is_expanded_inter_arc(x, original_arc_count)){ + original_cut.arcs.push_back(expanded_inter_arc_to_original_arc(x, original_arc_count)); + }else{ + original_cut.nodes.push_back(expanded_intra_arc_to_original_node(x, original_arc_count)); + } + } + + return original_cut; // NRVO + } + + struct Separator{ + std::vectorsep; + int small_side_size; + }; + + template + Separator extract_original_separator(const Tail&tail, const Head&head, const FlowCutter&cutter){ + int original_node_count = tail.image_count(); + int original_arc_count = tail.preimage_count(); + + Separator sep; + + for(auto x:cutter.get_current_cut()){ + if(is_expanded_intra_arc(x, original_arc_count)){ + sep.sep.push_back(expanded_intra_arc_to_original_node(x, original_arc_count)); + } + } + + int left_side_size = (cutter.get_current_smaller_cut_side_size()-sep.sep.size())/2; + int right_side_size = original_node_count - sep.sep.size() - left_side_size; + + auto is_original_node_left = [&](int x){ + return cutter.is_on_smaller_side(original_node_to_expanded_node(x, true)); + }; + + for(auto x:cutter.get_current_cut()){ + if(is_expanded_inter_arc(x, original_arc_count)){ + auto lr = expanded_inter_arc_to_original_arc(x, original_arc_count); + auto l = tail(lr), r = head(lr); + if(is_original_node_left(r)) + std::swap(l, r); + + if(left_side_size > right_side_size){ + sep.sep.push_back(l); + --left_side_size; + }else{ + sep.sep.push_back(r); + --right_side_size; + } + } + } + + sep.small_side_size = std::min(left_side_size, right_side_size); + + std::sort(sep.sep.begin(), sep.sep.end()); + sep.sep.erase(std::unique(sep.sep.begin(), sep.sep.end()), sep.sep.end()); + + return sep; // NVRO + } + + inline + std::vectorexpand_source_target_pair_list(std::vectorp){ + for(auto&x:p){ + x.source = original_node_to_expanded_node(x.source, false); + x.target = original_node_to_expanded_node(x.target, true); + } + return std::move(p); + } + } + + +} + +#endif diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/pace.cpp b/3rdParty/GPMC/flow-cutter-pace17/src/pace.cpp new file mode 100644 index 00000000..a0db6df5 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/pace.cpp @@ -0,0 +1,573 @@ + +#include "id_func.h" +#include "list_graph.h" +#include "multi_arc.h" +#include "sort_arc.h" +#include "chain.h" +#include "union_find.h" +#include "node_flow_cutter.h" +#include "separator.h" +#include "id_multi_func.h" +#include "filter.h" +#include "preorder.h" +#include "contraction_graph.h" +#include "tree_decomposition.h" +#include "greedy_order.h" +#include "min_max.h" + +#include +#include +#include +#include +#include +#include +#include + +#include +#include + +#include +using namespace std; + +ArrayIDIDFunc tail, head; +const char*volatile best_decomposition = 0; +int best_bag_size = numeric_limits::max(); + +void ignore_return_value(long long){} + +unsigned long long get_milli_time(){ + struct timeval tv; + gettimeofday(&tv, NULL); + return (unsigned long long)(tv.tv_sec) * 1000 + + (unsigned long long)(tv.tv_usec) / 1000; +} + +// This hack is actually standard compilant +template +S& access_internal_vector(std::priority_queue& q) { + struct Hacked : private priority_queue { + static S& access(priority_queue& q) { + return q.*&Hacked::c; + } + }; + return Hacked::access(q); +} + +void print_comment(std::string msg){ + msg = "c "+std::move(msg) + "\n"; + ignore_return_value(write(STDOUT_FILENO, msg.data(), msg.length())); +} + +template +void check_multilevel_partition_invariants(const Tail&tail, const Head&head, const std::vector&multilevel_partition){ + #ifndef NDEBUG + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + auto is_child_of = [&](int c, int p){ + for(;;){ + if(c == p) + return true; + if(c == -1) + return false; + c = multilevel_partition[c].parent_cell; + } + }; + + auto are_ordered = [&](int a, int b){ + return is_child_of(a, b) || is_child_of(b, a); + }; + + ArrayIDFunc cell_of_node(node_count); + cell_of_node.fill(-1); + + for(int i=0; i<(int)multilevel_partition.size(); ++i){ + for(auto&y:multilevel_partition[i].separator_node_list){ + assert(cell_of_node(y) == -1); + cell_of_node[y] = i; + } + } + + for(auto x:cell_of_node) + assert(x != -1); + + for(int xy = 0; xy < arc_count; ++xy){ + int x = cell_of_node(tail(xy)), y = cell_of_node(head(xy)); + assert(are_ordered(x, y)); + } + #endif +} + +template +void compute_multilevel_partition(const Tail&tail, const Head&head, const ComputeSeparator&compute_separator, int smallest_known_treewidth, const OnNewMP&on_new_multilevel_partition){ + + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + std::vectorclosed_cells; + std::priority_queueopen_cells; + + { + Cell top_level_cell; + top_level_cell.separator_node_list.resize(node_count); + for(int i=0; icells = closed_cells; + for(auto&q:access_internal_vector(open_cells)) + cells.push_back(q); + check_multilevel_partition_invariants(tail, head, cells); + on_new_multilevel_partition(cells, open_cells.empty() || max_closed_bag_size>=max_open_bag_size); + } + }; + + check_if_better(); + + + ArrayIDFuncnode_to_sub_node(node_count); + node_to_sub_node.fill(-1); + + auto inv_tail = invert_sorted_id_id_func(tail); + + BitIDFunc in_child_cell(node_count); + in_child_cell.fill(false); + + while(!open_cells.empty()){ + + #ifndef NDEBUG + + int real_max_closed_bag_size = 0; + for(auto&x:closed_cells) + max_to(real_max_closed_bag_size, x.bag_size()); + assert(max_closed_bag_size == real_max_closed_bag_size); + + int real_max_open_bag_size = 0; + for(auto&x:access_internal_vector(open_cells)) + max_to(real_max_open_bag_size, x.bag_size()); + assert(max_open_bag_size == real_max_open_bag_size); + + #endif + + auto current_cell = std::move(open_cells.top()); + open_cells.pop(); + + bool must_recompute_max_open_bag_size = (current_cell.bag_size() == max_open_bag_size); + + int closed_cell_id = closed_cells.size(); + + if(current_cell.bag_size() > max_closed_bag_size){ + + auto interior_node_list = std::move(current_cell.separator_node_list); + int interior_node_count = interior_node_list.size(); + + ArrayIDFuncsub_node_to_node(interior_node_count); + + int next_sub_id = 0; + for(int x:interior_node_list){ + node_to_sub_node[x] = next_sub_id; + sub_node_to_node[next_sub_id] = x; + ++next_sub_id; + } + + auto is_node_interior = id_func( + node_count, + [&](int x)->bool{ + return node_to_sub_node(x) != -1; + } + ); + + auto is_arc_interior = id_func( + arc_count, + [&](int xy)->bool{ + return is_node_interior(tail(xy)) && is_node_interior(head(xy)); + } + ); + + int interior_arc_count = count_true(is_arc_interior); + auto sub_tail = keep_if(is_arc_interior, interior_arc_count, tail); + auto sub_head = keep_if(is_arc_interior, interior_arc_count, head); + + for(auto&x:sub_tail) + x = node_to_sub_node(x); + sub_tail.set_image_count(interior_node_count); + + for(auto&x:sub_head) + x = node_to_sub_node(x); + sub_head.set_image_count(interior_node_count); + + auto sub_separator = compute_separator(sub_tail, sub_head); + + BitIDFunc is_in_sub_separator(interior_node_count); + is_in_sub_separator.fill(false); + for(auto x:sub_separator) + is_in_sub_separator.set(x, true); + + UnionFind uf(interior_node_count); + + for(int xy=0; xy>nodes_of_representative(interior_node_count); + for(int x=0; xbool{ + for(auto xy:inv_tail(x)) + if(in_child_cell(head(xy))) + return false; + return true; + } + ), + new_cell.boundary_node_list.end() + ); + for(auto x:new_cell.separator_node_list) + in_child_cell.set(x, false); + } + + new_cell.separator_node_list.shrink_to_fit(); + new_cell.boundary_node_list.shrink_to_fit(); + + if(new_cell.bag_size() > max_open_bag_size) + max_open_bag_size = new_cell.bag_size(); + + open_cells.push(std::move(new_cell)); + } + } + + current_cell.separator_node_list = std::move(separator); + current_cell.separator_node_list.shrink_to_fit(); + + for(int x:interior_node_list) + node_to_sub_node[x] = -1; + } + + if(current_cell.bag_size() > max_closed_bag_size) + max_closed_bag_size = current_cell.bag_size(); + + if(must_recompute_max_open_bag_size){ + max_open_bag_size = 0; + for(auto&x:access_internal_vector(open_cells)) + if(x.bag_size() > max_open_bag_size) + max_open_bag_size = x.bag_size(); + } + + closed_cells.push_back(std::move(current_cell)); + + check_if_better(); + + if(max_closed_bag_size >= smallest_known_treewidth){ + return; + } + + if(max_closed_bag_size >= max_open_bag_size){ + return; + } + } +} + +ArrayIDIDFunc preorder, inv_preorder; + +std::string format_multilevel_partition_as_tree_decomposition(const std::vector&cell_list){ + std::ostringstream out; + print_tree_decompostion_of_multilevel_partition(out, tail, head, preorder, cell_list); + return out.str(); +} + + +char no_decomposition_message[] = "c info programm was aborted before any decomposition was computed\n"; + +void signal_handler(int) +{ + const char*x = best_decomposition; + if(x != 0) + ignore_return_value(write(STDOUT_FILENO, x, strlen(x))); + else + ignore_return_value(write(STDOUT_FILENO, no_decomposition_message, sizeof(no_decomposition_message))); + + _Exit(EXIT_SUCCESS); +} + + + +int compute_max_bag_size_of_order(const ArrayIDIDFunc&order){ + auto inv_order = inverse_permutation(order); + int current_tail = -1; + int current_tail_up_deg = 0; + int max_up_deg = 0; + compute_chordal_supergraph( + chain(tail, inv_order), chain(head, inv_order), + [&](int x, int y){ + if(current_tail != x){ + current_tail = x; + max_to(max_up_deg, current_tail_up_deg); + current_tail_up_deg = 0; + } + ++current_tail_up_deg; + } + ); + return max_up_deg+1; +} + +const char*compute_decomposition_given_order(const ArrayIDIDFunc&order){ + ostringstream out; + print_tree_decompostion_of_order(out, tail, head, order); + char*buf = new char[out.str().length()+1]; + memcpy(buf, out.str().c_str(), out.str().length()+1); + return buf; +} + +void test_new_order(const ArrayIDIDFunc&order){ + int x = compute_max_bag_size_of_order(order); + { + if(x < best_bag_size){ + best_bag_size = x; + const char*old_decomposition = best_decomposition; + best_decomposition = compute_decomposition_given_order(order); + delete[]old_decomposition; + { + string msg = "c status "+to_string(best_bag_size)+" "+to_string(get_milli_time())+"\n"; + ignore_return_value(write(STDOUT_FILENO, msg.data(), msg.length())); + } + } + } +} + + + +int main(int argc, char*argv[]){ + signal(SIGTERM, signal_handler); + signal(SIGINT, signal_handler); + + signal(SIGSEGV, signal_handler); + try{ + { + string file_name = "-"; + if(argc == 2) + file_name = argv[1]; + auto g = uncached_load_pace_graph(file_name); + tail = std::move(g.tail); + head = std::move(g.head); + } + + int random_seed = 0; + + if(argc == 3){ + if(string(argv[1]) == "-s"){ + random_seed = atoi(argv[2]); + } + } + + { + preorder = compute_preorder(compute_successor_function(tail, head)); + for(int i=0; i&multilevel_partition, bool must_print){ + + long long now = get_milli_time(); + + if(!must_print && now - last_print < 30000) + return; + last_print = now; + + int tw = get_treewidth_of_multilevel_partition(multilevel_partition); + { + +//cerr << "New" << endl; +//for(int i=0; i<(int)multilevel_partition.size(); ++i){ +// cerr << i << " : " << multilevel_partition[i].parent_cell << " :"; +// for(auto&y:multilevel_partition[i].separator_node_list) +// cerr << " " << y ; +// cerr << endl; +//} + + auto td = format_multilevel_partition_as_tree_decomposition(multilevel_partition); + + char*new_decomposition = new char[td.length()+1]; + memcpy(new_decomposition, td.c_str(), td.length()+1); + const char*old_decomposition = best_decomposition; + best_decomposition = new_decomposition; + best_bag_size = tw; + delete[]old_decomposition; + } + print_comment("status "+to_string(best_bag_size)+" "+to_string(get_milli_time())); + }; + + + { + try{ + std::minstd_rand rand_gen; + rand_gen.seed(random_seed); + + if(node_count > 500000) + { + print_comment("start F1 with 0.1 min balance and edge_first"); + flow_cutter::Config config; + config.cutter_count = 1; + config.random_seed = rand_gen(); + config.min_small_side_size = 0.1; + config.max_cut_size = 500; + config.separator_selection = flow_cutter::Config::SeparatorSelection::edge_first; + compute_multilevel_partition(tail, head, flow_cutter::ComputeSeparator(config), best_bag_size, on_new_multilevel_partition); + } + +// { +// print_comment("start F1 with 0.1 min balance and node_first"); +// flow_cutter::Config config; +// config.cutter_count = 1; +// config.random_seed = rand_gen(); +// config.min_small_side_size = 0.1; +// config.max_cut_size = 5000; +// config.separator_selection = flow_cutter::Config::SeparatorSelection::node_first; +// compute_multilevel_partition(tail, head, flow_cutter::ComputeSeparator(config), best_bag_size, on_new_multilevel_partition); +// } + + +// { +// print_comment("start F3 with 0.05 min balance and node_first"); +// flow_cutter::Config config; +// config.cutter_count = 3; +// config.random_seed = rand_gen(); +// config.min_small_side_size = 0.05; +// config.max_cut_size = 5000; +// config.separator_selection = flow_cutter::Config::SeparatorSelection::node_first; +// compute_multilevel_partition(tail, head, flow_cutter::ComputeSeparator(config), best_bag_size, on_new_multilevel_partition); +// } + + +// { +// print_comment("start foo"); +// flow_cutter::Config config; +// config.cutter_count = 1; +// config.random_seed = rand_gen(); +// config.min_small_side_size = 0.1; +// config.max_cut_size = 5000; +// config.separator_selection = flow_cutter::Config::SeparatorSelection::node_first; + + +// auto top_sep_list = flow_cutter::ComputeSeparatorList(config)(tail, head); + +// top_sep_list.erase(top_sep_list.begin(), top_sep_list.end()-2); + +// for(auto&top_sep:top_sep_list){ +// print_comment("use top level sep "+std::to_string(top_sep.size())); +// auto default_compute_separator = flow_cutter::ComputeSeparator(config); +// auto compute_separator = [&](const ArrayIDIDFunc&tail, const ArrayIDIDFunc&head)->std::vector{ +// if(tail.image_count() == node_count){ +// print_comment("Used"); +// return top_sep; +// }else +// return default_compute_separator(tail, head); +// }; +// compute_multilevel_partition(tail, head, compute_separator, best_bag_size, on_new_multilevel_partition); +// } + +// } + + if(node_count < 50000){ + print_comment("min degree heuristic"); + test_new_order(chain(compute_greedy_min_degree_order(tail, head), inv_preorder)); + } + + if(node_count < 10000){ + print_comment("min shortcut heuristic"); + test_new_order(chain(compute_greedy_min_shortcut_order(tail, head), inv_preorder)); + } + + { + print_comment("run with 0.0/0.1/0.2 min balance and node_min_expansion in endless loop with varying seed"); + flow_cutter::Config config; + config.cutter_count = 1; + config.random_seed = rand_gen(); + config.max_cut_size = 10000; + config.separator_selection = flow_cutter::Config::SeparatorSelection::node_min_expansion; + + for(int i=2;;++i){ + config.random_seed = rand_gen(); + if(i % 16 == 0) + ++config.cutter_count; + + switch(i % 3){ + case 2: config.min_small_side_size = 0.2; break; + case 1: config.min_small_side_size = 0.1; break; + case 0: config.min_small_side_size = 0.0; break; + } + +// switch(i % 2){ +// case 1: config.separator_selection = flow_cutter::Config::SeparatorSelection::node_min_expansion; break; +// case 0: config.separator_selection = flow_cutter::Config::SeparatorSelection::node_first; break; +// } + +// print_comment("new run with F"+std::to_string(config.cutter_count)); + + compute_multilevel_partition(tail, head, flow_cutter::ComputeSeparator(config), best_bag_size, on_new_multilevel_partition); + } + } + }catch(...){ + } + + } + }catch(...){ + } + signal_handler(0); +} + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/permutation.h b/3rdParty/GPMC/flow-cutter-pace17/src/permutation.h new file mode 100644 index 00000000..c4316843 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/permutation.h @@ -0,0 +1,48 @@ +#ifndef PERMUTATION_H +#define PERMUTATION_H + +#include "tiny_id_func.h" + +template +bool is_permutation(const IDIDFunc&f){ + if(f.preimage_count() != f.image_count()) + return false; + + int id_count = f.preimage_count(); + + BitIDFunc already_seen(id_count); + already_seen.fill(false); + for(int i=0; i= id_count) + return false; + if(already_seen(x)) + return false; + already_seen.set(x, true); + } + return true; +} + + + +template +ArrayIDIDFunc inverse_permutation(const IDIDFunc&f){ + assert(is_permutation(f)); + + int id_count = f.preimage_count(); + + ArrayIDIDFunc inv_f(id_count, id_count); + for(int i=0; i + +template +ArrayIDIDFunc compute_preorder(const Out&out){ + const int node_count = out.preimage_count(); + + ArrayIDIDFunc p(node_count, node_count); + + BitIDFunc seen(node_count); + seen.fill(false); + + typedef typename std::decay::type Iter; + ArrayIDFuncnext_out(node_count); + for(int i=0; i stack(node_count); + int stack_end = 0; + + int id = 0; + + for(int r=0; r +struct Range{ + Iter begin_, end_; + Iter begin()const{return begin_;} + Iter end()const{return end_;} +}; + +template +Range make_range(Iter begin, Iter end){ + return {begin, end}; +} + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/separator.h b/3rdParty/GPMC/flow-cutter-pace17/src/separator.h new file mode 100644 index 00000000..d027e7d9 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/separator.h @@ -0,0 +1,282 @@ +#ifndef SEPARATOR_H +#define SEPARATOR_H + +#include "node_flow_cutter.h" +#include "flow_cutter.h" +#include "flow_cutter_config.h" +#include "tiny_id_func.h" +#include "min_max.h" +#include "back_arc.h" + +namespace flow_cutter{ + + class ComputeSeparator{ + public: + explicit ComputeSeparator(Config config):config(config){} + + template + std::vector operator()(const Tail&tail, const Head&head)const{ + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + auto out_arc = invert_sorted_id_id_func(tail); + auto back_arc = compute_back_arc_permutation(tail, head); + + std::vectorseparator; + + if(node_count <= 2){ + separator = {0}; + return separator; // NVRO + } + + { + UnionFind uf(node_count); + for(int i=0; ideg(node_count, 0); +// for(int i=0; i 0); +// if(deg[i] == 1){ +// separator = {i}; +// return separator; // NVRO +// } +// } +// } + + + switch(config.separator_selection){ + case Config::SeparatorSelection::node_min_expansion: + { + + auto expanded_graph = expanded_graph::make_graph( + make_const_ref_id_id_func(tail), + make_const_ref_id_id_func(head), + make_const_ref_id_id_func(back_arc), + make_const_ref_id_func(out_arc) + ); + + auto cutter = make_simple_cutter(expanded_graph, config); + auto pairs = select_random_source_target_pairs(node_count, config.cutter_count, config.random_seed); + + double best_score = std::numeric_limits::max(); + + cutter.init(expanded_graph::expand_source_target_pair_list(pairs), config.random_seed); + for(;;){ + + double cut_size = cutter.get_current_cut().size(); + double small_side_size = cutter.get_current_smaller_cut_side_size(); + + double score = cut_size / small_side_size; + + if(cutter.get_current_smaller_cut_side_size() < config.min_small_side_size * expanded_graph::expanded_node_count(node_count)) + score += 1000000; + + + if(score < best_score){ + best_score = score; + separator = expanded_graph::extract_original_separator(tail, head, cutter).sep; + if(separator.size() > config.max_cut_size) + break; + } + + double potential_best_next_score = (double)(cut_size+1)/(double)(expanded_graph::expanded_node_count(node_count)/2); + if(potential_best_next_score >= best_score) + break; + + if(!cutter.advance()) + break; + + } + } + break; + case Config::SeparatorSelection::edge_min_expansion: + { + auto graph = flow_cutter::make_graph( + make_const_ref_id_id_func(tail), + make_const_ref_id_id_func(head), + make_const_ref_id_id_func(back_arc), + ConstIntIDFunc<1>(arc_count), + make_const_ref_id_func(out_arc) + ); + + auto cutter = make_simple_cutter(graph, config); + + std::vectorbest_cut; + double best_score = std::numeric_limits::max(); + + cutter.init(select_random_source_target_pairs(node_count, config.cutter_count, config.random_seed), config.random_seed); + + for(;;){ + + double cut_size = cutter.get_current_cut().size(); + double small_side_size = cutter.get_current_smaller_cut_side_size(); + + double score = cut_size / small_side_size; + + if(cutter.get_current_smaller_cut_side_size() < config.min_small_side_size * node_count) + score += 1000000; + + + if(score < best_score){ + best_score = score; + best_cut = cutter.get_current_cut(); + if(best_cut.size() > config.max_cut_size) + break; + } + + double potential_best_next_score = (double)(cut_size+1)/(double)(expanded_graph::expanded_node_count(node_count)/2); + if(potential_best_next_score >= best_score) + break; + + if(!cutter.advance()) + break; + + } + + for(auto x:best_cut) + separator.push_back(head(x)); + + std::sort(separator.begin(), separator.end()); + separator.erase(std::unique(separator.begin(), separator.end()), separator.end()); + } + break; + case Config::SeparatorSelection::edge_first: + { + auto graph = flow_cutter::make_graph( + make_const_ref_id_id_func(tail), + make_const_ref_id_id_func(head), + make_const_ref_id_id_func(back_arc), + ConstIntIDFunc<1>(arc_count), + make_const_ref_id_func(out_arc) + ); + + auto cutter = make_simple_cutter(graph, config); + cutter.init(select_random_source_target_pairs(node_count, config.cutter_count, config.random_seed), config.random_seed); + while(cutter.get_current_smaller_cut_side_size() < config.min_small_side_size * node_count && cutter.get_current_cut().size() <= config.max_cut_size) + if(!cutter.advance()) + break; + + for(auto x:cutter.get_current_cut()) + separator.push_back(head(x)); + + std::sort(separator.begin(), separator.end()); + separator.erase(std::unique(separator.begin(), separator.end()), separator.end()); + } + break; + case Config::SeparatorSelection::node_first: + { + auto expanded_graph = expanded_graph::make_graph( + make_const_ref_id_id_func(tail), + make_const_ref_id_id_func(head), + make_const_ref_id_id_func(back_arc), + make_const_ref_id_func(out_arc) + ); + + auto cutter = make_simple_cutter(expanded_graph, config); + auto pairs = select_random_source_target_pairs(node_count, config.cutter_count, config.random_seed); + + cutter.init(expanded_graph::expand_source_target_pair_list(pairs), config.random_seed); + while(cutter.get_current_smaller_cut_side_size() < config.min_small_side_size * expanded_graph::expanded_node_count(node_count) && cutter.get_current_cut().size() <= config.max_cut_size) + if(!cutter.advance()) + break; + + separator = expanded_graph::extract_original_separator(tail, head, cutter).sep; + } + break; + default: + assert(false); + separator = {}; + } + return separator; // NVRO + + } + private: + Config config; + }; + + + + class ComputeSeparatorList{ + public: + explicit ComputeSeparatorList(Config config):config(config){} + + template + std::vector> operator()(const Tail&tail, const Head&head)const{ + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + auto out_arc = invert_sorted_id_id_func(tail); + auto back_arc = compute_back_arc_permutation(tail, head); + + std::vector>separator_list; + + if(node_count <= 2){ + separator_list.push_back({0}); + return separator_list; // NVRO + } + + { + UnionFind uf(node_count); + for(int i=0; i 4*node_count/10 && cutter.get_current_cut().size() > 2*separator_list.back().size()) + break; + + if(cutter.get_current_cut().size() > config.max_cut_size) + break; + + if(!cutter.advance()) + break; + } + } + + return separator_list; // NVRO + + } + private: + Config config; + }; +} + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/sort_arc.h b/3rdParty/GPMC/flow-cutter-pace17/src/sort_arc.h new file mode 100644 index 00000000..88cac20a --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/sort_arc.h @@ -0,0 +1,38 @@ +#ifndef SORT_ARC_H +#define SORT_ARC_H + +#include "id_sort.h" +#include "array_id_func.h" +#include "permutation.h" +#include "count_range.h" +#include + +template +ArrayIDIDFunc sort_arcs_first_by_tail_second_by_head(const Tail&tail, const Head&head){ + assert(tail.preimage_count() == head.preimage_count()); + assert(tail.image_count() == head.image_count()); + + const int arc_count = tail.preimage_count(); + + ArrayIDIDFunc + x(arc_count, arc_count), + y(arc_count, arc_count); + + stable_sort_copy_by_id( + CountIterator{0}, CountIterator{arc_count}, + y.begin(), + head.image_count(), + head + ); + stable_sort_copy_by_id( + y.begin(), y.end(), + x.begin(), + tail.image_count(), + tail + ); + + return x; //NVRO +} + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/tiny_id_func.h b/3rdParty/GPMC/flow-cutter-pace17/src/tiny_id_func.h new file mode 100644 index 00000000..39751387 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/tiny_id_func.h @@ -0,0 +1,155 @@ +#ifndef TINY_INT_ID_FUNC_H +#define TINY_INT_ID_FUNC_H + +#include +#include +#include "id_func.h" +#include "array_id_func.h" + +template +struct TinyIntIDFunc{ +private: + static constexpr int entry_count_per_uint64 = 64/bit_count; + static constexpr std::uint64_t entry_mask = (std::uint64_t(1)< + TinyIntIDFunc(const IDFunc&other, typename std::enable_if::value, void>::type*dummy=0) + :preimage_(other.preimage_count()), data_((other.preimage_count() + entry_count_per_uint64 - 1) / entry_count_per_uint64){ + for(int i=0; i> offset) & entry_mask; + } + + void set(int id, std::uint64_t value){ + assert(0 <= id && id < preimage_ && "id out of bounds"); + assert(0 <= value && value <= entry_mask && "value out of bounds"); + + int index = id / entry_count_per_uint64; + int offset = (id % entry_count_per_uint64)*bit_count; + + data_[index] ^= ((((data_[index] >> offset) & entry_mask) ^ value) << offset); + } + + void fill(std::uint64_t value){ + assert(0 <= value && value <= entry_mask && "value out of bounds"); + + if(bit_count == 1){ + if(value == false) + data_.fill(0); + else + data_.fill((std::uint64_t)-1); + }else if(value == 0){ + data_.fill(0); + }else{ + std::uint64_t pattern = value; + int shift = bit_count; + while(shift < 64){ + pattern |= pattern << shift; + shift <<= 1; + } + data_.fill(pattern); + } + } + + std::uint64_t move(int id){ + return operator()(id); + } + + void swap(TinyIntIDFunc&other)noexcept{ + std::swap(preimage_, other.preimage_); + data_.swap(other.data_); + } + + template + TinyIntIDFunc operator=(const typename std::enable_if::value, IDFunc>::type & other){ + TinyIntIDFunc(other).swap(*this); + return *this; + } + + + int preimage_; + ArrayIDFunc data_; +}; + + + +typedef TinyIntIDFunc<1> BitIDFunc; + +inline BitIDFunc operator~(BitIDFunc f){ + for(int i=0; i +#include + +template +bool is_tree(const Neighbors&neighbors){ + int node_count = neighbors.preimage_count(); + if(node_count <= 1) + return true; + + int reachable_node_count = 0; + + ArrayIDFuncparent(node_count); + parent.fill(-1); + ArrayIDFuncstack(node_count); + int stack_end = 0; + stack[stack_end++] = 0; + while(stack_end != 0){ + ++reachable_node_count; + auto x = stack[--stack_end]; + for(auto y:neighbors(x)){ + if(parent(x) != y){ + if(parent(y) == -1){ + parent[y] = x; + stack[stack_end++] = y; + }else{ + return false; + } + } + } + } + return reachable_node_count == node_count; +} + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/tree_decomposition.cpp b/3rdParty/GPMC/flow-cutter-pace17/src/tree_decomposition.cpp new file mode 100644 index 00000000..3a02255c --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/tree_decomposition.cpp @@ -0,0 +1,208 @@ +#include "tree_decomposition.h" +#include "io_helper.h" +#include +#include +#include +#include +#include "heap.h" +#include "tiny_id_func.h" +#include "contraction_graph.h" +#include "id_multi_func.h" +using namespace std; + +void print_tree_decompostion_of_order(std::ostream&out, ArrayIDIDFunc tail, ArrayIDIDFunc head, const ArrayIDIDFunc&order){ + const int node_count = tail.image_count(); + + auto inv_order = inverse_permutation(order); + tail = chain(tail, inv_order); + head = chain(head, inv_order); + + vector>nodes_in_bag; + ArrayIDFunc>bags_of_node(node_count); + + auto is_left_subset_of_right = [](const std::vector&l, const std::vector&r){ + auto i = l.begin(), j = r.begin(); + + for(;;){ + if(i == l.end()) + return true; + if(j == r.end()) + return false; + + if(*i < *j) + return false; + if(*i == *j) + ++i; + ++j; + } + }; + + auto compute_intersection_size = [](const std::vector&l, const std::vector&r){ + auto i = l.begin(), j = r.begin(); + int n = 0; + for(;;){ + if(i == l.end() || j == r.end()) + return n; + if(*i < *j) + ++i; + else if(*i > *j) + ++j; + else{ + ++i; + ++j; + ++n; + } + } + }; + + auto on_new_potential_maximal_clique = [&](int lowest_node_in_clique, std::vectorclique){ + for(auto b:bags_of_node(lowest_node_in_clique)) + if(is_left_subset_of_right(clique, nodes_in_bag[b])) + return; + int bag_id = nodes_in_bag.size(); + for(auto x:clique) + bags_of_node[x].push_back(bag_id); + nodes_in_bag.push_back(move(clique)); + }; + + + { + BitIDFunc is_root(node_count); + is_root.fill(true); + std::vectorupper_neighborhood_of_z; + int z = -1; + compute_chordal_supergraph( + tail, head, + [&](int x, int y){ + is_root.set(x, false); + if(z != -1 && z != x){ + upper_neighborhood_of_z.push_back(z); + sort(upper_neighborhood_of_z.begin(), upper_neighborhood_of_z.end()); + on_new_potential_maximal_clique(z, move(upper_neighborhood_of_z)); + upper_neighborhood_of_z.clear(); + } + z = x; + upper_neighborhood_of_z.push_back(y); + } + ); + if(z != -1){ + upper_neighborhood_of_z.push_back(z); + sort(upper_neighborhood_of_z.begin(), upper_neighborhood_of_z.end()); + on_new_potential_maximal_clique(z, move(upper_neighborhood_of_z)); + } + + for(int x=0; x maximum_bag_size) + maximum_bag_size = b.size(); + + out << "s td "<< nodes_in_bag.size() << ' ' << maximum_bag_size << ' ' << node_count << '\n'; + for(int i=0; itail, head, weight; + + for(int b=0; bneighbor_bags; + for(auto x:nodes_in_bag[b]){ + vectortmp; + std::set_union( + bags_of_node[x].begin(), bags_of_node[x].end(), + neighbor_bags.begin(), neighbor_bags.end(), + std::back_inserter(tmp) + ); + neighbor_bags.swap(tmp); + } + for(auto p:neighbor_bags){ + if(p != b){ + tail.push_back(b); + head.push_back(p); + weight.push_back(compute_intersection_size(nodes_in_bag[b], nodes_in_bag[p])); + } + } + } + + int arc_count = tail.size(); + + auto out_arc = invert_id_id_func( + id_id_func( + arc_count, bag_count, + [&](unsigned a){return tail[a];} + ) + ); + + BitIDFunc in_tree(bag_count); + in_tree.fill(false); + max_id_heapq(arc_count); + + for(int b=0; b&cell_list){ + int bag_count = cell_list.size(); + + out << "s td "<< bag_count << ' ' << get_treewidth_of_multilevel_partition(cell_list) << ' ' << get_node_count_of_multilevel_partition(cell_list) << '\n'; + + for(int i=0; i +#include + +void print_tree_decompostion_of_order(std::ostream&out, ArrayIDIDFunc tail, ArrayIDIDFunc head, const ArrayIDIDFunc&order); +void print_tree_decompostion_of_multilevel_partition(std::ostream&out, const ArrayIDIDFunc&tail, const ArrayIDIDFunc&head, const ArrayIDIDFunc&to_input_node_id, const std::vector&cell_list); + +#endif diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/tree_node_ranking.h b/3rdParty/GPMC/flow-cutter-pace17/src/tree_node_ranking.h new file mode 100644 index 00000000..3d28a1a9 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/tree_node_ranking.h @@ -0,0 +1,205 @@ +#ifndef TREE_NODE_RANKING_H +#define TREE_NODE_RANKING_H +#include "array_id_func.h" +#include "count_range.h" +#include "id_sort.h" +#include + +//! input graph must be a symmetric graph +//! The result is guaranteed to be optimal for trees. For non-trees there are no guarantees. +template +ArrayIDIDFunc compute_tree_node_ranking(const Neighbors&neighbors){ + const int node_count = neighbors.preimage_count(); + + ArrayIDFunc + parent(node_count), + child_first_order(node_count); + + // Root tree at node 0 + { + ArrayIDFuncstack(node_count); + int stack_end = 0; + int next_order_pos = node_count; + + stack[stack_end++] = 0; + parent.fill(-1); + parent[0] = -2; + + + while(stack_end != 0){ + auto x = stack[--stack_end]; + child_first_order[--next_order_pos] = x; + for(auto y:neighbors(x)){ + if(parent(y) == -1){ + assert(y != 0); + stack[stack_end++] = y; + parent[y] = x; + } + } + } + parent[0] = -1; + assert(next_order_pos == 0); + } + + + ArrayIDIDFunc level(node_count, 1); + + // Compute node levels + { + struct SubTreeInfo{ + std::vectorcritical_list; + int size; + }; + ArrayIDFunc>node_children_info(node_count); + + BitIDFunc crit(node_count); + crit.fill(false); + + for(int i=0; i max) + max = t; + }else{ + if(t > p) + p = t; + } + + auto&&first_child_critical_list = children_info[0].critical_list; + + for(int i = first_child_critical_list.size()-1; i>=0; --i){ + int t = first_child_critical_list[i]; + + if(t > max) + break; + if(p >= t) + continue; + + if(!crit(t)){ + crit.set(t, true); + }else{ + p = t; + } + } + + for(int i=0; i<=p; ++i) + crit.set(i, false); + for(int i=p+1; i<=max; ++i){ + if(!crit(i)){ + if(q == 0){ + q = i; + tree_info.critical_list = {q}; + } + }else{ + crit.set(i, false); + if(q != 0) + tree_info.critical_list.push_back(i); + } + } + + if(q == 0){ + + while(!first_child_critical_list.empty() && first_child_critical_list.back() <= max) + first_child_critical_list.pop_back(); + q = max+1; + while(!first_child_critical_list.empty() && first_child_critical_list.back() == q){ + first_child_critical_list.pop_back(); + ++q; + } + + tree_info.critical_list = std::move(first_child_critical_list); + tree_info.critical_list.push_back(q); + }else{ + while(!first_child_critical_list.empty() && first_child_critical_list.back() <= max) + first_child_critical_list.pop_back(); + assert(std::is_sorted(tree_info.critical_list.begin(), tree_info.critical_list.end())); + for(int i=tree_info.critical_list.size()-1; i>=0; --i) + first_child_critical_list.push_back(tree_info.critical_list[i]); + tree_info.critical_list = std::move(first_child_critical_list); + } + + assert(q > 0); + + if(level.image_count() < q) + level.set_image_count(q); + level[x] = q-1; + } + + assert(std::is_sorted(tree_info.critical_list.begin(), tree_info.critical_list.end(), std::greater())); + + if(parent(x) != -1) + node_children_info[parent(x)].push_back(std::move(tree_info)); + } + } + + return level; // NVRO +} + +#endif + diff --git a/3rdParty/GPMC/flow-cutter-pace17/src/union_find.h b/3rdParty/GPMC/flow-cutter-pace17/src/union_find.h new file mode 100644 index 00000000..7c122179 --- /dev/null +++ b/3rdParty/GPMC/flow-cutter-pace17/src/union_find.h @@ -0,0 +1,89 @@ +#ifndef UNION_FIND_H +#define UNION_FIND_H + +#include "array_id_func.h" +#include + +//! An id-id-function that maps a node onto its components representative +struct UnionFind{ +public: + UnionFind():node_count_(0){} + + explicit UnionFind(int node_count):parent_(node_count), node_count_(node_count), component_count_(node_count){ + parent_.fill(-1); + } + + void reset(){ + parent_.fill(-1); + component_count_ = node_count_; + } + + int preimage_count()const{return node_count_;} + int image_count()const{return node_count_;} + + void unite(int l, int r){ + assert(0 <= l && l < node_count_); + assert(0 <= r && r < node_count_); + + l = operator()(l); + r = operator()(r); + if(l != r){ + --component_count_; + if(-parent_[l] < -parent_[r]){ + parent_[r] += parent_[l]; + parent_[l] = r; + }else{ + parent_[l] += parent_[r]; + parent_[r] = l; + } + } + } + + int operator()(int x)const{ + assert(0 <= x && x < node_count_); + + if(is_representative(x)) + return x; + + int y = x; + while(!is_representative(y)) + y = parent_[y]; + + int z = x; + while(!is_representative(z)){ + int tmp = parent_[z]; + parent_[z] = y; + z = tmp; + } + + return y; + } + + bool in_same(int x, int y)const{ + return (*this)(x) == (*this)(y); + } + + bool is_representative(int v)const{ + assert(0 <= v && v < node_count_); + return parent_(v) < 0; + } + + int component_size(int v)const{ + assert(0 <= v && v < node_count_); + if(is_representative(v)) + return -parent_(v); + else + return 0; + } + + int component_count()const{ + return component_count_; + } + +private: + mutable ArrayIDFuncparent_; + int node_count_; + int component_count_; +}; + +#endif diff --git a/3rdParty/GPMC/include/gpmc.hpp b/3rdParty/GPMC/include/gpmc.hpp new file mode 100644 index 00000000..dc14cb86 --- /dev/null +++ b/3rdParty/GPMC/include/gpmc.hpp @@ -0,0 +1,11 @@ +#include "src/problem/ProblemTypes.hpp" +#include +#include +namespace GPMC { +bool simplify(std::vector> &clauses, + std::vector &sel, + std::vector> &learnts, int &vars, int &pvars, + int &free_vars, std::vector &assigns, + std::vector &gmap, bool equiv,bool check); + +} diff --git a/3rdParty/GPMC/mtl/Alg.h b/3rdParty/GPMC/mtl/Alg.h new file mode 100644 index 00000000..9aff2ec8 --- /dev/null +++ b/3rdParty/GPMC/mtl/Alg.h @@ -0,0 +1,84 @@ +/*******************************************************************************************[Alg.h] +Copyright (c) 2003-2006, Niklas Een, Niklas Sorensson +Copyright (c) 2007-2010, Niklas Sorensson + +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 Glucose1_Alg_h +#define Glucose1_Alg_h + +#include "mtl/Vec.h" + +namespace Glucose1 { + +//================================================================================================= +// Useful functions on vector-like types: + +//================================================================================================= +// Removing and searching for elements: +// + +template +static inline void remove(V& ts, const T& t) +{ + int j = 0; + for (; j < ts.size() && ts[j] != t; j++); + assert(j < ts.size()); + for (; j < ts.size()-1; j++) ts[j] = ts[j+1]; + ts.pop(); +} + + +template +static inline bool find(V& ts, const T& t) +{ + int j = 0; + for (; j < ts.size() && ts[j] != t; j++); + return j < ts.size(); +} + + +//================================================================================================= +// Copying vectors with support for nested vector types: +// + +// Base case: +template +static inline void copy(const T& from, T& to) +{ + to = from; +} + +// Recursive case: +template +static inline void copy(const vec& from, vec& to, bool append = false) +{ + if (!append) + to.clear(); + for (int i = 0; i < from.size(); i++){ + to.push(); + copy(from[i], to.last()); + } +} + +template +static inline void append(const vec& from, vec& to){ copy(from, to, true); } + +//================================================================================================= +} + +#endif diff --git a/3rdParty/GPMC/mtl/Alloc.h b/3rdParty/GPMC/mtl/Alloc.h new file mode 100644 index 00000000..7ef21664 --- /dev/null +++ b/3rdParty/GPMC/mtl/Alloc.h @@ -0,0 +1,131 @@ +/*****************************************************************************************[Alloc.h] +Copyright (c) 2008-2010, Niklas Sorensson + +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 Glucose1_Alloc_h +#define Glucose1_Alloc_h + +#include "mtl/XAlloc.h" +#include "mtl/Vec.h" + +namespace Glucose1 { + +//================================================================================================= +// Simple Region-based memory allocator: + +template +class RegionAllocator +{ + T* memory; + uint32_t sz; + uint32_t cap; + uint32_t wasted_; + + void capacity(uint32_t min_cap); + + public: + // TODO: make this a class for better type-checking? + typedef uint32_t Ref; + enum { Ref_Undef = UINT32_MAX }; + enum { Unit_Size = sizeof(uint32_t) }; + + explicit RegionAllocator(uint32_t start_cap = 1024*1024) : memory(NULL), sz(0), cap(0), wasted_(0){ capacity(start_cap); } + ~RegionAllocator() + { + if (memory != NULL) + ::free(memory); + } + + + uint32_t size () const { return sz; } + uint32_t wasted () const { return wasted_; } + + Ref alloc (int size); + void free (int size) { wasted_ += size; } + + // Deref, Load Effective Address (LEA), Inverse of LEA (AEL): + T& operator[](Ref r) { assert(r >= 0 && r < sz); return memory[r]; } + const T& operator[](Ref r) const { assert(r >= 0 && r < sz); return memory[r]; } + + T* lea (Ref r) { assert(r >= 0 && r < sz); return &memory[r]; } + const T* lea (Ref r) const { assert(r >= 0 && r < sz); return &memory[r]; } + Ref ael (const T* t) { assert((void*)t >= (void*)&memory[0] && (void*)t < (void*)&memory[sz-1]); + return (Ref)(t - &memory[0]); } + + void moveTo(RegionAllocator& to) { + if (to.memory != NULL) ::free(to.memory); + to.memory = memory; + to.sz = sz; + to.cap = cap; + to.wasted_ = wasted_; + + memory = NULL; + sz = cap = wasted_ = 0; + } + + +}; + +template +void RegionAllocator::capacity(uint32_t min_cap) +{ + if (cap >= min_cap) return; + + uint32_t prev_cap = cap; + while (cap < min_cap){ + // NOTE: Multiply by a factor (13/8) without causing overflow, then add 2 and make the + // result even by clearing the least significant bit. The resulting sequence of capacities + // is carefully chosen to hit a maximum capacity that is close to the '2^32-1' limit when + // using 'uint32_t' as indices so that as much as possible of this space can be used. + uint32_t delta = ((cap >> 1) + (cap >> 3) + 2) & ~1; + cap += delta; + + if (cap <= prev_cap) + throw OutOfMemoryException(); + } + //printf(" .. (%p) cap = %u\n", this, cap); + + assert(cap > 0); + memory = (T*)xrealloc(memory, sizeof(T)*cap); +} + + +template +typename RegionAllocator::Ref +RegionAllocator::alloc(int size) +{ + //printf("ALLOC called (this = %p, size = %d)\n", this, size); fflush(stdout); + assert(size > 0); + capacity(sz + size); + + uint32_t prev_sz = sz; + sz += size; + + // Handle overflow: + if (sz < prev_sz) + throw OutOfMemoryException(); + + return prev_sz; +} + + +//================================================================================================= +} + +#endif diff --git a/3rdParty/GPMC/mtl/Heap.h b/3rdParty/GPMC/mtl/Heap.h new file mode 100644 index 00000000..bf58ac03 --- /dev/null +++ b/3rdParty/GPMC/mtl/Heap.h @@ -0,0 +1,148 @@ +/******************************************************************************************[Heap.h] +Copyright (c) 2003-2006, Niklas Een, Niklas Sorensson +Copyright (c) 2007-2010, Niklas Sorensson + +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 Glucose1_Heap_h +#define Glucose1_Heap_h + +#include "mtl/Vec.h" + +namespace Glucose1 { + +//================================================================================================= +// A heap implementation with support for decrease/increase key. + + +template +class Heap { + Comp lt; // The heap is a minimum-heap with respect to this comparator + vec heap; // Heap of integers + vec indices; // Each integers position (index) in the Heap + + // Index "traversal" functions + static inline int left (int i) { return i*2+1; } + static inline int right (int i) { return (i+1)*2; } + static inline int parent(int i) { return (i-1) >> 1; } + + + void percolateUp(int i) + { + int x = heap[i]; + int p = parent(i); + + while (i != 0 && lt(x, heap[p])){ + heap[i] = heap[p]; + indices[heap[p]] = i; + i = p; + p = parent(p); + } + heap [i] = x; + indices[x] = i; + } + + + void percolateDown(int i) + { + int x = heap[i]; + while (left(i) < heap.size()){ + int child = right(i) < heap.size() && lt(heap[right(i)], heap[left(i)]) ? right(i) : left(i); + if (!lt(heap[child], x)) break; + heap[i] = heap[child]; + indices[heap[i]] = i; + i = child; + } + heap [i] = x; + indices[x] = i; + } + + + public: + Heap(const Comp& c) : lt(c) { } + + int size () const { return heap.size(); } + bool empty () const { return heap.size() == 0; } + bool inHeap (int n) const { return n < indices.size() && indices[n] >= 0; } + int operator[](int index) const { assert(index < heap.size()); return heap[index]; } + + + void decrease (int n) { assert(inHeap(n)); percolateUp (indices[n]); } + void increase (int n) { assert(inHeap(n)); percolateDown(indices[n]); } + + + // Safe variant of insert/decrease/increase: + void update(int n) + { + if (!inHeap(n)) + insert(n); + else { + percolateUp(indices[n]); + percolateDown(indices[n]); } + } + + + void insert(int n) + { + indices.growTo(n+1, -1); + assert(!inHeap(n)); + + indices[n] = heap.size(); + heap.push(n); + percolateUp(indices[n]); + } + + + int removeMin() + { + int x = heap[0]; + heap[0] = heap.last(); + indices[heap[0]] = 0; + indices[x] = -1; + heap.pop(); + if (heap.size() > 1) percolateDown(0); + return x; + } + + + // Rebuild the heap from scratch, using the elements in 'ns': + void build(vec& ns) { + for (int i = 0; i < heap.size(); i++) + indices[heap[i]] = -1; + heap.clear(); + + for (int i = 0; i < ns.size(); i++){ + indices[ns[i]] = i; + heap.push(ns[i]); } + + for (int i = heap.size() / 2 - 1; i >= 0; i--) + percolateDown(i); + } + + void clear(bool dealloc = false) + { + for (int i = 0; i < heap.size(); i++) + indices[heap[i]] = -1; + heap.clear(dealloc); + } +}; + + +//================================================================================================= +} + +#endif diff --git a/3rdParty/GPMC/mtl/IntTypes.h b/3rdParty/GPMC/mtl/IntTypes.h new file mode 100644 index 00000000..872155c0 --- /dev/null +++ b/3rdParty/GPMC/mtl/IntTypes.h @@ -0,0 +1,46 @@ +/**************************************************************************************[IntTypes.h] +Copyright (c) 2009-2010, Niklas Sorensson + +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 Glucose1_IntTypes_h +#define Glucose1_IntTypes_h + +#ifdef __sun + // Not sure if there are newer versions that support C99 headers. The + // needed features are implemented in the headers below though: + +# include +# include +# include + +#else + +# include +# include + +#endif + +#include + +#ifndef PRIu64 +#define PRIu64 "lu" +#define PRIi64 "ld" +#endif +//================================================================================================= + +#endif diff --git a/3rdParty/GPMC/mtl/Map.h b/3rdParty/GPMC/mtl/Map.h new file mode 100644 index 00000000..c327b707 --- /dev/null +++ b/3rdParty/GPMC/mtl/Map.h @@ -0,0 +1,193 @@ +/*******************************************************************************************[Map.h] +Copyright (c) 2006-2010, Niklas Sorensson + +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 Glucose1_Map_h +#define Glucose1_Map_h + +#include "mtl/IntTypes.h" +#include "mtl/Vec.h" + +namespace Glucose1 { + +//================================================================================================= +// Default hash/equals functions +// + +template struct Hash { uint32_t operator()(const K& k) const { return hash(k); } }; +template struct Equal { bool operator()(const K& k1, const K& k2) const { return k1 == k2; } }; + +template struct DeepHash { uint32_t operator()(const K* k) const { return hash(*k); } }; +template struct DeepEqual { bool operator()(const K* k1, const K* k2) const { return *k1 == *k2; } }; + +static inline uint32_t hash(uint32_t x){ return x; } +static inline uint32_t hash(uint64_t x){ return (uint32_t)x; } +static inline uint32_t hash(int32_t x) { return (uint32_t)x; } +static inline uint32_t hash(int64_t x) { return (uint32_t)x; } + + +//================================================================================================= +// Some primes +// + +static const int nprimes = 25; +static const int primes [nprimes] = { 31, 73, 151, 313, 643, 1291, 2593, 5233, 10501, 21013, 42073, 84181, 168451, 337219, 674701, 1349473, 2699299, 5398891, 10798093, 21596719, 43193641, 86387383, 172775299, 345550609, 691101253 }; + +//================================================================================================= +// Hash table implementation of Maps +// + +template, class E = Equal > +class Map { + public: + struct Pair { K key; D data; }; + + private: + H hash; + E equals; + + vec* table; + int cap; + int size; + + // Don't allow copying (error prone): + Map& operator = (Map& other) { assert(0); } + Map (Map& other) { assert(0); } + + bool checkCap(int new_size) const { return new_size > cap; } + + int32_t index (const K& k) const { return hash(k) % cap; } + void _insert (const K& k, const D& d) { + vec& ps = table[index(k)]; + ps.push(); ps.last().key = k; ps.last().data = d; } + + void rehash () { + const vec* old = table; + + int old_cap = cap; + int newsize = primes[0]; + for (int i = 1; newsize <= cap && i < nprimes; i++) + newsize = primes[i]; + + table = new vec[newsize]; + cap = newsize; + + for (int i = 0; i < old_cap; i++){ + for (int j = 0; j < old[i].size(); j++){ + _insert(old[i][j].key, old[i][j].data); }} + + delete [] old; + + // printf(" --- rehashing, old-cap=%d, new-cap=%d\n", cap, newsize); + } + + + public: + + Map () : table(NULL), cap(0), size(0) {} + Map (const H& h, const E& e) : hash(h), equals(e), table(NULL), cap(0), size(0){} + ~Map () { delete [] table; } + + // PRECONDITION: the key must already exist in the map. + const D& operator [] (const K& k) const + { + assert(size != 0); + const D* res = NULL; + const vec& ps = table[index(k)]; + for (int i = 0; i < ps.size(); i++) + if (equals(ps[i].key, k)) + res = &ps[i].data; + assert(res != NULL); + return *res; + } + + // PRECONDITION: the key must already exist in the map. + D& operator [] (const K& k) + { + assert(size != 0); + D* res = NULL; + vec& ps = table[index(k)]; + for (int i = 0; i < ps.size(); i++) + if (equals(ps[i].key, k)) + res = &ps[i].data; + assert(res != NULL); + return *res; + } + + // PRECONDITION: the key must *NOT* exist in the map. + void insert (const K& k, const D& d) { if (checkCap(size+1)) rehash(); _insert(k, d); size++; } + bool peek (const K& k, D& d) const { + if (size == 0) return false; + const vec& ps = table[index(k)]; + for (int i = 0; i < ps.size(); i++) + if (equals(ps[i].key, k)){ + d = ps[i].data; + return true; } + return false; + } + + bool has (const K& k) const { + if (size == 0) return false; + const vec& ps = table[index(k)]; + for (int i = 0; i < ps.size(); i++) + if (equals(ps[i].key, k)) + return true; + return false; + } + + // PRECONDITION: the key must exist in the map. + void remove(const K& k) { + assert(table != NULL); + vec& ps = table[index(k)]; + int j = 0; + for (; j < ps.size() && !equals(ps[j].key, k); j++); + assert(j < ps.size()); + ps[j] = ps.last(); + ps.pop(); + size--; + } + + void clear () { + cap = size = 0; + delete [] table; + table = NULL; + } + + int elems() const { return size; } + int bucket_count() const { return cap; } + + // NOTE: the hash and equality objects are not moved by this method: + void moveTo(Map& other){ + delete [] other.table; + + other.table = table; + other.cap = cap; + other.size = size; + + table = NULL; + size = cap = 0; + } + + // NOTE: given a bit more time, I could make a more C++-style iterator out of this: + const vec& bucket(int i) const { return table[i]; } +}; + +//================================================================================================= +} + +#endif diff --git a/3rdParty/GPMC/mtl/Queue.h b/3rdParty/GPMC/mtl/Queue.h new file mode 100644 index 00000000..73504810 --- /dev/null +++ b/3rdParty/GPMC/mtl/Queue.h @@ -0,0 +1,69 @@ +/*****************************************************************************************[Queue.h] +Copyright (c) 2003-2006, Niklas Een, Niklas Sorensson +Copyright (c) 2007-2010, Niklas Sorensson + +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 Glucose1_Queue_h +#define Glucose1_Queue_h + +#include "mtl/Vec.h" + +namespace Glucose1 { + +//================================================================================================= + +template +class Queue { + vec buf; + int first; + int end; + +public: + typedef T Key; + + Queue() : buf(1), first(0), end(0) {} + + void clear (bool dealloc = false) { buf.clear(dealloc); buf.growTo(1); first = end = 0; } + int size () const { return (end >= first) ? end - first : end - first + buf.size(); } + + const T& operator [] (int index) const { assert(index >= 0); assert(index < size()); return buf[(first + index) % buf.size()]; } + T& operator [] (int index) { assert(index >= 0); assert(index < size()); return buf[(first + index) % buf.size()]; } + + T peek () const { assert(first != end); return buf[first]; } + void pop () { assert(first != end); first++; if (first == buf.size()) first = 0; } + void insert(T elem) { // INVARIANT: buf[end] is always unused + buf[end++] = elem; + if (end == buf.size()) end = 0; + if (first == end){ // Resize: + vec tmp((buf.size()*3 + 1) >> 1); + //**/printf("queue alloc: %d elems (%.1f MB)\n", tmp.size(), tmp.size() * sizeof(T) / 1000000.0); + int i = 0; + for (int j = first; j < buf.size(); j++) tmp[i++] = buf[j]; + for (int j = 0 ; j < end ; j++) tmp[i++] = buf[j]; + first = 0; + end = buf.size(); + tmp.moveTo(buf); + } + } +}; + + +//================================================================================================= +} + +#endif diff --git a/3rdParty/GPMC/mtl/Sort.h b/3rdParty/GPMC/mtl/Sort.h new file mode 100644 index 00000000..1b269719 --- /dev/null +++ b/3rdParty/GPMC/mtl/Sort.h @@ -0,0 +1,98 @@ +/******************************************************************************************[Sort.h] +Copyright (c) 2003-2007, Niklas Een, Niklas Sorensson +Copyright (c) 2007-2010, Niklas Sorensson + +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 Glucose1_Sort_h +#define Glucose1_Sort_h + +#include "mtl/Vec.h" + +//================================================================================================= +// Some sorting algorithms for vec's + + +namespace Glucose1 { + +template +struct LessThan_default { + bool operator () (T x, T y) { return x < y; } +}; + + +template +void selectionSort(T* array, int size, LessThan lt) +{ + int i, j, best_i; + T tmp; + + for (i = 0; i < size-1; i++){ + best_i = i; + for (j = i+1; j < size; j++){ + if (lt(array[j], array[best_i])) + best_i = j; + } + tmp = array[i]; array[i] = array[best_i]; array[best_i] = tmp; + } +} +template static inline void selectionSort(T* array, int size) { + selectionSort(array, size, LessThan_default()); } + +template +void sort(T* array, int size, LessThan lt) +{ + if (size <= 15) + selectionSort(array, size, lt); + + else{ + T pivot = array[size / 2]; + T tmp; + int i = -1; + int j = size; + + for(;;){ + do i++; while(lt(array[i], pivot)); + do j--; while(lt(pivot, array[j])); + + if (i >= j) break; + + tmp = array[i]; array[i] = array[j]; array[j] = tmp; + } + + sort(array , i , lt); + sort(&array[i], size-i, lt); + } +} +template static inline void sort(T* array, int size) { + sort(array, size, LessThan_default()); } + + +//================================================================================================= +// For 'vec's: + + +template void sort(vec& v, LessThan lt) { + sort((T*)v, v.size(), lt); } +template void sort(vec& v) { + sort(v, LessThan_default()); } + + +//================================================================================================= +} + +#endif diff --git a/3rdParty/GPMC/mtl/Vec.h b/3rdParty/GPMC/mtl/Vec.h new file mode 100644 index 00000000..0931485a --- /dev/null +++ b/3rdParty/GPMC/mtl/Vec.h @@ -0,0 +1,130 @@ +/*******************************************************************************************[Vec.h] +Copyright (c) 2003-2007, Niklas Een, Niklas Sorensson +Copyright (c) 2007-2010, Niklas Sorensson + +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 Glucose1_Vec_h +#define Glucose1_Vec_h + +#include +#include + +#include "mtl/IntTypes.h" +#include "mtl/XAlloc.h" + +namespace Glucose1 { + +//================================================================================================= +// Automatically resizable arrays +// +// NOTE! Don't use this vector on datatypes that cannot be re-located in memory (with realloc) + +template +class vec { + T* data; + int sz; + int cap; + + // Don't allow copying (error prone): + vec& operator = (vec& other) { assert(0); return *this; } + vec (vec& other) { assert(0); } + + // Helpers for calculating next capacity: + static inline int imax (int x, int y) { int mask = (y-x) >> (sizeof(int)*8-1); return (x&mask) + (y&(~mask)); } + //static inline void nextCap(int& cap){ cap += ((cap >> 1) + 2) & ~1; } + static inline void nextCap(int& cap){ cap += ((cap >> 1) + 2) & ~1; } + +public: + // Constructors: + vec() : data(NULL) , sz(0) , cap(0) { } + explicit vec(int size) : data(NULL) , sz(0) , cap(0) { growTo(size); } + vec(int size, const T& pad) : data(NULL) , sz(0) , cap(0) { growTo(size, pad); } + ~vec() { clear(true); } + + // Pointer to first element: + operator T* (void) { return data; } + + // Size operations: + int size (void) const { return sz; } + void shrink (int nelems) { assert(nelems <= sz); for (int i = 0; i < nelems; i++) sz--, data[sz].~T(); } + void shrink_ (int nelems) { assert(nelems <= sz); sz -= nelems; } + int capacity (void) const { return cap; } + void capacity (int min_cap); + void growTo (int size); + void growTo (int size, const T& pad); + void clear (bool dealloc = false); + + // Stack interface: + void push (void) { if (sz == cap) capacity(sz+1); new (&data[sz]) T(); sz++; } + void push (const T& elem) { if (sz == cap) capacity(sz+1); data[sz++] = elem; } + void push_ (const T& elem) { assert(sz < cap); data[sz++] = elem; } + void pop (void) { assert(sz > 0); sz--, data[sz].~T(); } + // NOTE: it seems possible that overflow can happen in the 'sz+1' expression of 'push()', but + // in fact it can not since it requires that 'cap' is equal to INT_MAX. This in turn can not + // happen given the way capacities are calculated (below). Essentially, all capacities are + // even, but INT_MAX is odd. + + const T& last (void) const { return data[sz-1]; } + T& last (void) { return data[sz-1]; } + + // Vector interface: + const T& operator [] (int index) const { return data[index]; } + T& operator [] (int index) { return data[index]; } + + // Duplicatation (preferred instead): + void copyTo(vec& copy) const { copy.clear(); copy.growTo(sz); for (int i = 0; i < sz; i++) copy[i] = data[i]; } + void moveTo(vec& dest) { dest.clear(true); dest.data = data; dest.sz = sz; dest.cap = cap; data = NULL; sz = 0; cap = 0; } +}; + + +template +void vec::capacity(int min_cap) { + if (cap >= min_cap) return; + int add = imax((min_cap - cap + 1) & ~1, ((cap >> 1) + 2) & ~1); // NOTE: grow by approximately 3/2 + if (add > INT_MAX - cap || ((data = (T*)::realloc(data, (cap += add) * sizeof(T))) == NULL) && errno == ENOMEM) + throw OutOfMemoryException(); + } + + +template +void vec::growTo(int size, const T& pad) { + if (sz >= size) return; + capacity(size); + for (int i = sz; i < size; i++) data[i] = pad; + sz = size; } + + +template +void vec::growTo(int size) { + if (sz >= size) return; + capacity(size); + for (int i = sz; i < size; i++) new (&data[i]) T(); + sz = size; } + + +template +void vec::clear(bool dealloc) { + if (data != NULL){ + for (int i = 0; i < sz; i++) data[i].~T(); + sz = 0; + if (dealloc) free(data), data = NULL, cap = 0; } } + +//================================================================================================= +} + +#endif diff --git a/3rdParty/GPMC/mtl/XAlloc.h b/3rdParty/GPMC/mtl/XAlloc.h new file mode 100644 index 00000000..fb2f0159 --- /dev/null +++ b/3rdParty/GPMC/mtl/XAlloc.h @@ -0,0 +1,47 @@ +/****************************************************************************************[XAlloc.h] +Copyright (c) 2009-2010, Niklas Sorensson + +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 Glucose1_XAlloc_h +#define Glucose1_XAlloc_h + +#include +#include +#include + +namespace Glucose1 { + +//================================================================================================= +// Simple layer on top of malloc/realloc to catch out-of-memory situtaions and provide some typing: + +class OutOfMemoryException{}; +static inline void* xrealloc(void *ptr, size_t size) +{ + void* mem = realloc(ptr, size); + if (mem == NULL && errno == ENOMEM){ + throw OutOfMemoryException(); + }else { + return mem; + } +} + +//================================================================================================= +} + +#endif diff --git a/3rdParty/GPMC/mtl/config.mk b/3rdParty/GPMC/mtl/config.mk new file mode 100644 index 00000000..b5c36fc6 --- /dev/null +++ b/3rdParty/GPMC/mtl/config.mk @@ -0,0 +1,6 @@ +## +## This file is for system specific configurations. For instance, on +## some systems the path to zlib needs to be added. Example: +## +## CFLAGS += -I/usr/local/include +## LFLAGS += -L/usr/local/lib diff --git a/3rdParty/GPMC/mtl/template.mk b/3rdParty/GPMC/mtl/template.mk new file mode 100644 index 00000000..286e0706 --- /dev/null +++ b/3rdParty/GPMC/mtl/template.mk @@ -0,0 +1,106 @@ +## +## Template makefile for Standard, Profile, Debug, Release, and Release-static versions +## +## eg: "make rs" for a statically linked release version. +## "make d" for a debug version (no optimizations). +## "make" for the standard version (optimized, but with debug information and assertions active) + +PWD = $(shell pwd) +EXEC ?= $(notdir $(PWD)) + +CSRCS = $(wildcard $(PWD)/*.cc) +DSRCS = $(foreach dir, $(DEPDIR), $(filter-out $(MROOT)/$(dir)/Main.cc, $(wildcard $(MROOT)/$(dir)/*.cc))) +CHDRS = $(wildcard $(PWD)/*.h) +COBJS = $(CSRCS:.cc=.o) $(DSRCS:.cc=.o) + +PCOBJS = $(addsuffix p, $(COBJS)) +DCOBJS = $(addsuffix d, $(COBJS)) +RCOBJS = $(addsuffix r, $(COBJS)) + +CXX ?= g++ +CFLAGS ?= -Wall -Wno-parentheses -Wno-format -Wno-sign-compare -Wno-literal-suffix -Wno-misleading-indentation -Wno-class-memaccess -std=c++11 +LFLAGS ?= -Wall + +COPTIMIZE ?= -O3 + +CFLAGS += -I$(MROOT) -D __STDC_LIMIT_MACROS -D __STDC_FORMAT_MACROS +LFLAGS += -lz -lgmp -lgmpxx + +.PHONY : s p d r rs clean + +s: $(EXEC) +p: $(EXEC)_profile +d: $(EXEC)_debug +r: $(EXEC)_release +rs: $(EXEC)_static + +libs: lib$(LIB)_standard.a +libp: lib$(LIB)_profile.a +libd: lib$(LIB)_debug.a +libr: lib$(LIB)_release.a + +## Compile options +%.o: CFLAGS +=$(COPTIMIZE) -g -D DEBUG +%.op: CFLAGS +=$(COPTIMIZE) -pg -g -D NDEBUG +%.od: CFLAGS +=-O0 -g -D DEBUG +%.or: CFLAGS +=$(COPTIMIZE) -g -D NDEBUG + +## Link options +$(EXEC): LFLAGS += -g +$(EXEC)_profile: LFLAGS += -g -pg +$(EXEC)_debug: LFLAGS += -g +#$(EXEC)_release: LFLAGS += ... +$(EXEC)_static: LFLAGS += --static + +## Dependencies +$(EXEC): $(COBJS) +$(EXEC)_profile: $(PCOBJS) +$(EXEC)_debug: $(DCOBJS) +$(EXEC)_release: $(RCOBJS) +$(EXEC)_static: $(RCOBJS) + +lib$(LIB)_standard.a: $(filter-out */Main.o, $(COBJS)) +lib$(LIB)_profile.a: $(filter-out */Main.op, $(PCOBJS)) +lib$(LIB)_debug.a: $(filter-out */Main.od, $(DCOBJS)) +lib$(LIB)_release.a: $(filter-out */Main.or, $(RCOBJS)) + + +## Build rule +%.o %.op %.od %.or: %.cc + @echo Compiling: $(subst $(MROOT)/,,$@) + @$(CXX) $(CFLAGS) -c -o $@ $< + +## Linking rules (standard/profile/debug/release) +$(EXEC) $(EXEC)_profile $(EXEC)_debug $(EXEC)_release $(EXEC)_static: + @echo Linking: "$@ ( $(foreach f,$^,$(subst $(MROOT)/,,$f)) )" + @$(CXX) $^ $(LFLAGS) -o $@ + +## Library rules (standard/profile/debug/release) +lib$(LIB)_standard.a lib$(LIB)_profile.a lib$(LIB)_release.a lib$(LIB)_debug.a: + @echo Making library: "$@ ( $(foreach f,$^,$(subst $(MROOT)/,,$f)) )" + @$(AR) -rcsv $@ $^ + +## Library Soft Link rule: +libs libp libd libr: + @echo "Making Soft Link: $^ -> lib$(LIB).a" + @ln -sf $^ lib$(LIB).a + +## Clean rule +clean: + @rm -f $(EXEC) $(EXEC)_profile $(EXEC)_debug $(EXEC)_release $(EXEC)_static \ + $(COBJS) $(PCOBJS) $(DCOBJS) $(RCOBJS) *.core depend.mk + +## Make dependencies +depend.mk: $(CSRCS) $(CHDRS) + @echo Making dependencies + @$(CXX) $(CFLAGS) -I$(MROOT) \ + $(CSRCS) -MM | sed 's|\(.*\):|$(PWD)/\1 $(PWD)/\1r $(PWD)/\1d $(PWD)/\1p:|' > depend.mk + @for dir in $(DEPDIR); do \ + if [ -r $(MROOT)/$${dir}/depend.mk ]; then \ + echo Depends on: $${dir}; \ + cat $(MROOT)/$${dir}/depend.mk >> depend.mk; \ + fi; \ + done + +-include $(MROOT)/mtl/config.mk +-include depend.mk diff --git a/3rdParty/GPMC/preprocessor/IFlowCutter.cc b/3rdParty/GPMC/preprocessor/IFlowCutter.cc new file mode 100644 index 00000000..1c8b8940 --- /dev/null +++ b/3rdParty/GPMC/preprocessor/IFlowCutter.cc @@ -0,0 +1,691 @@ +/* + * IFlowCutter.cpp + * This file is a degraded copy of pace.cpp in flow-cutter-pace17. + * I made a small change to the source code for our use (e.g., timeout). + * + * Editted on: 2022/03/29 + * Author: k-hasimt + */ + + +//#include "flow-cutter-pace17/src/id_func.h" +//#include "flow-cutter-pace17/src/list_graph.h" +#include "flow-cutter-pace17/src/multi_arc.h" +//#include "flow-cutter-pace17/src/sort_arc.h" +//#include "flow-cutter-pace17/src/chain.h" +#include "flow-cutter-pace17/src/union_find.h" +//#include "flow-cutter-pace17/src/node_flow_cutter.h" +#include "flow-cutter-pace17/src/separator.h" +#include "flow-cutter-pace17/src/id_multi_func.h" +#include "flow-cutter-pace17/src/filter.h" +#include "flow-cutter-pace17/src/preorder.h" +#include "flow-cutter-pace17/src/contraction_graph.h" +//#include "flow-cutter-pace17/src/tree_decomposition.h" +#include "flow-cutter-pace17/src/greedy_order.h" +//#include "flow-cutter-pace17/src/min_max.h" +#include "flow-cutter-pace17/src/heap.h" + +#include "preprocessor/IFlowCutter.h" +#include "preprocessor/TreeDecomposition.h" +#include "utils/System.h" + +// #include +// #include +// #include +// #include +// #include +// #include +#include + +#include +// #include + +#include +using namespace std; + + +IFlowCutter::IFlowCutter(int n, int m, double timeout) : + nodes(n), best_bag_size(numeric_limits::max()), head(2*m, n), tail(2*m, n), timeout(timeout) {} + +void IFlowCutter::importGraph(const Graph& g) +{ + int next_arc = 0; + for(int i=0; i= j) continue; + assert(next_arc < head.preimage_count()); + head[next_arc] = j; + tail[next_arc] = i; + next_arc++; + head[next_arc] = i; + tail[next_arc] = j; + next_arc++; + } +} + +void ignore_return_value(long long){} + +unsigned long long get_milli_time(){ + struct timeval tv; + gettimeofday(&tv, NULL); + return (unsigned long long)(tv.tv_sec) * 1000 + + (unsigned long long)(tv.tv_usec) / 1000; +} + +// This hack is actually standard compilant +template +S& access_internal_vector(std::priority_queue& q) { + struct Hacked : private priority_queue { + static S& access(priority_queue& q) { + return q.*&Hacked::c; + } + }; + return Hacked::access(q); +} + +void print_comment(std::string msg){ + msg = "c o "+std::move(msg) + "\n"; + ignore_return_value(write(STDOUT_FILENO, msg.data(), msg.length())); +} + +template +void check_multilevel_partition_invariants(const Tail&tail, const Head&head, const std::vector&multilevel_partition){ + #ifndef NDEBUG + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + auto is_child_of = [&](int c, int p){ + for(;;){ + if(c == p) + return true; + if(c == -1) + return false; + c = multilevel_partition[c].parent_cell; + } + }; + + auto are_ordered = [&](int a, int b){ + return is_child_of(a, b) || is_child_of(b, a); + }; + + ArrayIDFunc cell_of_node(node_count); + cell_of_node.fill(-1); + + for(int i=0; i<(int)multilevel_partition.size(); ++i){ + for(auto&y:multilevel_partition[i].separator_node_list){ + assert(cell_of_node(y) == -1); + cell_of_node[y] = i; + } + } + + for(auto x:cell_of_node) + assert(x != -1); + + for(int xy = 0; xy < arc_count; ++xy){ + int x = cell_of_node(tail(xy)), y = cell_of_node(head(xy)); + assert(are_ordered(x, y)); + } + #endif +} + +template +void compute_multilevel_partition(const Tail&tail, const Head&head, const ComputeSeparator&compute_separator, int smallest_known_treewidth, const OnNewMP&on_new_multilevel_partition){ + + const int node_count = tail.image_count(); + const int arc_count = tail.preimage_count(); + + std::vectorclosed_cells; + std::priority_queueopen_cells; + + { + Cell top_level_cell; + top_level_cell.separator_node_list.resize(node_count); + for(int i=0; icells = closed_cells; + for(auto&q:access_internal_vector(open_cells)) + cells.push_back(q); + check_multilevel_partition_invariants(tail, head, cells); + on_new_multilevel_partition(cells, open_cells.empty() || max_closed_bag_size>=max_open_bag_size); + } + }; + + check_if_better(); + + + ArrayIDFuncnode_to_sub_node(node_count); + node_to_sub_node.fill(-1); + + auto inv_tail = invert_sorted_id_id_func(tail); + + BitIDFunc in_child_cell(node_count); + in_child_cell.fill(false); + + while(!open_cells.empty()){ + + #ifndef NDEBUG + + int real_max_closed_bag_size = 0; + for(auto&x:closed_cells) + max_to(real_max_closed_bag_size, x.bag_size()); + assert(max_closed_bag_size == real_max_closed_bag_size); + + int real_max_open_bag_size = 0; + for(auto&x:access_internal_vector(open_cells)) + max_to(real_max_open_bag_size, x.bag_size()); + assert(max_open_bag_size == real_max_open_bag_size); + + #endif + + auto current_cell = std::move(open_cells.top()); + open_cells.pop(); + + bool must_recompute_max_open_bag_size = (current_cell.bag_size() == max_open_bag_size); + + int closed_cell_id = closed_cells.size(); + + if(current_cell.bag_size() > max_closed_bag_size){ + + auto interior_node_list = std::move(current_cell.separator_node_list); + int interior_node_count = interior_node_list.size(); + + ArrayIDFuncsub_node_to_node(interior_node_count); + + int next_sub_id = 0; + for(int x:interior_node_list){ + node_to_sub_node[x] = next_sub_id; + sub_node_to_node[next_sub_id] = x; + ++next_sub_id; + } + + auto is_node_interior = id_func( + node_count, + [&](int x)->bool{ + return node_to_sub_node(x) != -1; + } + ); + + auto is_arc_interior = id_func( + arc_count, + [&](int xy)->bool{ + return is_node_interior(tail(xy)) && is_node_interior(head(xy)); + } + ); + + int interior_arc_count = count_true(is_arc_interior); + auto sub_tail = keep_if(is_arc_interior, interior_arc_count, tail); + auto sub_head = keep_if(is_arc_interior, interior_arc_count, head); + + for(auto&x:sub_tail) + x = node_to_sub_node(x); + sub_tail.set_image_count(interior_node_count); + + for(auto&x:sub_head) + x = node_to_sub_node(x); + sub_head.set_image_count(interior_node_count); + + auto sub_separator = compute_separator(sub_tail, sub_head); + + BitIDFunc is_in_sub_separator(interior_node_count); + is_in_sub_separator.fill(false); + for(auto x:sub_separator) + is_in_sub_separator.set(x, true); + + UnionFind uf(interior_node_count); + + for(int xy=0; xy>nodes_of_representative(interior_node_count); + for(int x=0; xbool{ + for(auto xy:inv_tail(x)) + if(in_child_cell(head(xy))) + return false; + return true; + } + ), + new_cell.boundary_node_list.end() + ); + for(auto x:new_cell.separator_node_list) + in_child_cell.set(x, false); + } + + new_cell.separator_node_list.shrink_to_fit(); + new_cell.boundary_node_list.shrink_to_fit(); + + if(new_cell.bag_size() > max_open_bag_size) + max_open_bag_size = new_cell.bag_size(); + + open_cells.push(std::move(new_cell)); + } + } + + current_cell.separator_node_list = std::move(separator); + current_cell.separator_node_list.shrink_to_fit(); + + for(int x:interior_node_list) + node_to_sub_node[x] = -1; + } + + if(current_cell.bag_size() > max_closed_bag_size) + max_closed_bag_size = current_cell.bag_size(); + + if(must_recompute_max_open_bag_size){ + max_open_bag_size = 0; + for(auto&x:access_internal_vector(open_cells)) + if(x.bag_size() > max_open_bag_size) + max_open_bag_size = x.bag_size(); + } + + closed_cells.push_back(std::move(current_cell)); + + check_if_better(); + + if(max_closed_bag_size >= smallest_known_treewidth){ + return; + } + + if(max_closed_bag_size >= max_open_bag_size){ + return; + } + } +} + +int IFlowCutter::compute_max_bag_size_of_order(const ArrayIDIDFunc&order){ + auto inv_order = inverse_permutation(order); + int current_tail = -1; + int current_tail_up_deg = 0; + int max_up_deg = 0; + compute_chordal_supergraph( + chain(tail, inv_order), chain(head, inv_order), + [&](int x, int y){ + if(current_tail != x){ + current_tail = x; + max_to(max_up_deg, current_tail_up_deg); + current_tail_up_deg = 0; + } + ++current_tail_up_deg; + } + ); + return max_up_deg+1; +} + +void IFlowCutter::test_new_order(const ArrayIDIDFunc&order, TreeDecomposition& td){ + int x = compute_max_bag_size_of_order(order); + { + if(x < best_bag_size){ + best_bag_size = x; + td = output_tree_decompostion_of_order(tail, head, order); + } + } +} + +TreeDecomposition IFlowCutter::output_tree_decompostion_of_order(ArrayIDIDFunc tail, ArrayIDIDFunc head, const ArrayIDIDFunc&order){ + TreeDecomposition better_td; + + const int node_count = tail.image_count(); + + auto inv_order = inverse_permutation(order); + tail = chain(tail, inv_order); + head = chain(head, inv_order); + + vector>nodes_in_bag; + ArrayIDFunc>bags_of_node(node_count); + + auto is_left_subset_of_right = [](const std::vector&l, const std::vector&r){ + auto i = l.begin(), j = r.begin(); + + for(;;){ + if(i == l.end()) + return true; + if(j == r.end()) + return false; + + if(*i < *j) + return false; + if(*i == *j) + ++i; + ++j; + } + }; + + auto compute_intersection_size = [](const std::vector&l, const std::vector&r){ + auto i = l.begin(), j = r.begin(); + int n = 0; + for(;;){ + if(i == l.end() || j == r.end()) + return n; + if(*i < *j) + ++i; + else if(*i > *j) + ++j; + else{ + ++i; + ++j; + ++n; + } + } + }; + + auto on_new_potential_maximal_clique = [&](int lowest_node_in_clique, std::vectorclique){ + for(auto b:bags_of_node(lowest_node_in_clique)) + if(is_left_subset_of_right(clique, nodes_in_bag[b])) + return; + int bag_id = nodes_in_bag.size(); + for(auto x:clique) + bags_of_node[x].push_back(bag_id); + nodes_in_bag.push_back(move(clique)); + }; + + + { + BitIDFunc is_root(node_count); + is_root.fill(true); + std::vectorupper_neighborhood_of_z; + int z = -1; + compute_chordal_supergraph( + tail, head, + [&](int x, int y){ + is_root.set(x, false); + if(z != -1 && z != x){ + upper_neighborhood_of_z.push_back(z); + sort(upper_neighborhood_of_z.begin(), upper_neighborhood_of_z.end()); + on_new_potential_maximal_clique(z, move(upper_neighborhood_of_z)); + upper_neighborhood_of_z.clear(); + } + z = x; + upper_neighborhood_of_z.push_back(y); + } + ); + if(z != -1){ + upper_neighborhood_of_z.push_back(z); + sort(upper_neighborhood_of_z.begin(), upper_neighborhood_of_z.end()); + on_new_potential_maximal_clique(z, move(upper_neighborhood_of_z)); + } + + for(int x=0; x maximum_bag_size) + maximum_bag_size = b.size(); + + better_td.init(bag_count); + better_td.setWidth(maximum_bag_size-1); + better_td.setNumGraphNodes(node_count); + cout << "c o td: #bags " << bag_count << ", tw " << maximum_bag_size + << ", elapsed " << Glucose1::cpuTime() << " s"<< endl; // << endl;// << ", #vars " << node_count << endl; + better_td.initBags(); + + for(int i=0; i>& bags = better_td.Bags(); + for(auto x: nodes_in_bag[i]) + bags[i].push_back(order(x)); + } + + { + std::vectortail, head, weight; + + for(int b=0; bneighbor_bags; + for(auto x:nodes_in_bag[b]){ + vectortmp; + std::set_union( + bags_of_node[x].begin(), bags_of_node[x].end(), + neighbor_bags.begin(), neighbor_bags.end(), + std::back_inserter(tmp) + ); + neighbor_bags.swap(tmp); + } + for(auto p:neighbor_bags){ + if(p != b){ + tail.push_back(b); + head.push_back(p); + weight.push_back(compute_intersection_size(nodes_in_bag[b], nodes_in_bag[p])); + } + } + } + + int arc_count = tail.size(); + + auto out_arc = invert_id_id_func( + id_id_func( + arc_count, bag_count, + [&](unsigned a){return tail[a];} + ) + ); + + BitIDFunc in_tree(bag_count); + in_tree.fill(false); + max_id_heapq(arc_count); + + for(int b=0; b&cell_list){ + TreeDecomposition better_td; + + int bag_count = cell_list.size(); + + better_td.init(bag_count); + better_td.setWidth(get_treewidth_of_multilevel_partition(cell_list)-1); + better_td.setNumGraphNodes(get_node_count_of_multilevel_partition(cell_list)); + cout << "c o td: #bags " << bag_count << ", tw " << get_treewidth_of_multilevel_partition(cell_list)-1 + << ", elapsed " << Glucose1::cpuTime() << " s"<< endl; // << ", #vars " << get_node_count_of_multilevel_partition(cell_list) << endl; + better_td.initBags(); + + for(int i=0; i>& bags = better_td.Bags(); + for(auto&x:cell_list[i].separator_node_list) + bags[i].push_back(to_input_node_id(x)); + for(auto&x:cell_list[i].boundary_node_list) + bags[i].push_back(to_input_node_id(x)); + } + + for(int i=0; i&multilevel_partition, bool must_print){ + + long long now = get_milli_time(); + + if(!must_print && now - last_print < 30000) + return; + last_print = now; + + int tw = get_treewidth_of_multilevel_partition(multilevel_partition); + { + /* update best tree decomposition*/ + + td = output_tree_decompostion_of_multilevel_partition(tail, head, preorder, multilevel_partition); + best_bag_size = tw; + } + // print_comment("status "+to_string(best_bag_size)+" "+to_string(get_milli_time())); + // print_comment("status "+to_string(best_bag_size)+" "+to_string(get_milli_time())); + start_time = Glucose1::cpuTime(); + }; + + + { + try{ + std::minstd_rand rand_gen; + rand_gen.seed(random_seed); + + if(node_count > 500000) + { + print_comment("start F1 with 0.1 min balance and edge_first"); + flow_cutter::Config config; + config.cutter_count = 1; + config.random_seed = rand_gen(); + config.min_small_side_size = 0.1; + config.max_cut_size = 500; + config.separator_selection = flow_cutter::Config::SeparatorSelection::edge_first; + compute_multilevel_partition(tail, head, flow_cutter::ComputeSeparator(config), best_bag_size, on_new_multilevel_partition); + } + + if(node_count < 50000){ + print_comment("min degree heuristic"); + test_new_order(chain(compute_greedy_min_degree_order(tail, head), inv_preorder), td); + } + + if(node_count < 10000){ + print_comment("min shortcut heuristic"); + test_new_order(chain(compute_greedy_min_shortcut_order(tail, head), inv_preorder), td); + } + + start_time = Glucose1::cpuTime(); + { + print_comment("run with 0.0/0.1/0.2 min balance and node_min_expansion in endless loop with varying seed"); + flow_cutter::Config config; + config.cutter_count = 1; + config.random_seed = rand_gen(); + config.max_cut_size = 10000; + config.separator_selection = flow_cutter::Config::SeparatorSelection::node_min_expansion; + + for(int i=2;;++i){ + config.random_seed = rand_gen(); + if(i % 16 == 0) + ++config.cutter_count; + + switch(i % 3){ + case 2: config.min_small_side_size = 0.2; break; + case 1: config.min_small_side_size = 0.1; break; + case 0: config.min_small_side_size = 0.0; break; + } + + compute_multilevel_partition(tail, head, flow_cutter::ComputeSeparator(config), best_bag_size, on_new_multilevel_partition); + + if(Glucose1::cpuTime() - start_time > timeout) break; + } + } + }catch(...){ + } + + } + }catch(...){ + } + + return td; +} + diff --git a/3rdParty/GPMC/preprocessor/IFlowCutter.h b/3rdParty/GPMC/preprocessor/IFlowCutter.h new file mode 100644 index 00000000..1a984d67 --- /dev/null +++ b/3rdParty/GPMC/preprocessor/IFlowCutter.h @@ -0,0 +1,42 @@ +/* + * FlowCutter.h + * This is an interface to flow_cutter_pace17 only for our use. + * + * Created on: 2022/03/29 + * Author: k-hasimt + */ + +#ifndef PREPROCESSOR_IFLOWCUTTER_H_ +#define PREPROCESSOR_IFLOWCUTTER_H_ + +#include "flow-cutter-pace17/src/array_id_func.h" +#include "flow-cutter-pace17/src/cell.h" +#include "TreeDecomposition.h" + +class IFlowCutter { +public: + IFlowCutter(int n, int m, double timeout=120); + + void importGraph(const Graph& g); + TreeDecomposition constructTD(); + + void setTimeout(double timeout) { this->timeout = timeout; } + +private: + int compute_max_bag_size_of_order(const ArrayIDIDFunc&order); + void test_new_order(const ArrayIDIDFunc&order, TreeDecomposition&td); + + TreeDecomposition output_tree_decompostion_of_order(ArrayIDIDFunc tail, ArrayIDIDFunc head, const ArrayIDIDFunc&order); + TreeDecomposition output_tree_decompostion_of_multilevel_partition(const ArrayIDIDFunc&tail, const ArrayIDIDFunc&head, const ArrayIDIDFunc&to_input_node_id, const std::vector&cell_list); + + int nodes; + int best_bag_size; + + ArrayIDIDFunc head, tail; + + double timeout; +}; + + + +#endif /* PREPROCESSOR_IFLOWCUTTER_H_ */ diff --git a/3rdParty/GPMC/preprocessor/Preprocessor.cc b/3rdParty/GPMC/preprocessor/Preprocessor.cc new file mode 100644 index 00000000..5c4e92bf --- /dev/null +++ b/3rdParty/GPMC/preprocessor/Preprocessor.cc @@ -0,0 +1,939 @@ +#include "preprocessor/Preprocessor.h" +#include "arjun/arjun.h" +#include "TestSolver.h" +#include "core/SolverTypes.h" +#include "lib_sharpsat_td/subsumer.hpp" + +#include +#include + +using std::swap; + +using namespace PPMC; +using namespace Glucose1; +using namespace std; + +// Identifier +void Identifier::identify(Lit l1, Lit l2) { + if (cidx[toInt(l1)] == -1 && cidx[toInt(l2)] == -1) { + cidx[toInt(l1)] = cidx[toInt(l2)] = eqc.size(); + eqc.push_back({l1, l2}); + cidx[toInt(~l1)] = cidx[toInt(~l2)] = eqc.size(); + eqc.push_back({~l1, ~l2}); + num_elem += 2; + } else if (cidx[toInt(l1)] == -1) { + eqc[cidx[toInt(l2)]].push_back(l1); + eqc[cidx[toInt(~l2)]].push_back(~l1); + cidx[toInt(l1)] = cidx[toInt(l2)]; + cidx[toInt(~l1)] = cidx[toInt(~l2)]; + + if (var(eqc[cidx[toInt(l2)]][0]) > var(l1)) { + vector &eq = eqc[cidx[toInt(l2)]]; + std::swap(eq[0], eq.back()); + eq = eqc[cidx[toInt(~l2)]]; + std::swap(eq[0], eq.back()); + } + } else if (cidx[toInt(l2)] == -1) { + eqc[cidx[toInt(l1)]].push_back(l2); + eqc[cidx[toInt(~l1)]].push_back(~l2); + cidx[toInt(l2)] = cidx[toInt(l1)]; + cidx[toInt(~l2)] = cidx[toInt(~l1)]; + } else { + if (cidx[toInt(l1)] == cidx[toInt(l2)]) + return; + assert(cidx[toInt(l1)] != cidx[toInt(l2)]); + + Var d1 = var(eqc[cidx[toInt(l1)]][0]); + Var d2 = var(eqc[cidx[toInt(l2)]][0]); + + if (d1 < d2) { + MergeEquivClasses(cidx[toInt(l1)], cidx[toInt(l2)]); + MergeEquivClasses(cidx[toInt(~l1)], cidx[toInt(~l2)]); + } else { + MergeEquivClasses(cidx[toInt(l2)], cidx[toInt(l1)]); + MergeEquivClasses(cidx[toInt(~l2)], cidx[toInt(~l1)]); + } + } +} +void Identifier::removeEquivClass(Lit l) { + if (cidx[toInt(l)] >= 0) { + for (Lit s : {l, ~l}) { + int idx = cidx[toInt(s)]; + for (Lit le : eqc[idx]) + cidx[toInt(le)] = -1; + eqc[idx].clear(); + } + num_elem -= 2; + } +} +void Identifier::MergeEquivClasses(int c1, int c2) { + for (Lit l : eqc[c2]) { + eqc[c1].push_back(l); + cidx[toInt(l)] = c1; + } + eqc[c2].clear(); + num_elem--; +} + +// Preprocessor +template +bool Preprocessor::Simplify(GPMC::Instance *instance) { + ins = instance; + + printCNFInfo("Init", true); + + if (ins->unsat || !SAT_FLE()) + return false; + + if (ins->vars > config.varlimit) + return true; + + if (config.cs) + Strengthen(); + + int start_cls = ins->clauses.size(); + + for (int i = 0; i < config.reps; i++) { + int vars = ins->vars; + int cls = ins->clauses.size(); + + if (cpuTime() > config.timelim) + break; + + if (config.ee) + MergeAdjEquivs(); + if (config.ve) { + if (ins->projected) + VariableEliminate(false); + if (config.ve_dve) { + VariableEliminate(true); + } + } + if (config.cs) + Strengthen(); + + if (cpuTime() > config.timelim || + ((vars == ins->vars) && (cls == ins->clauses.size())) || + (ins->clauses.size() > (double)1.1 * start_cls)) + break; + } + + int learnts = ins->learnts.size(); + for (int i = ins->learnts.size() - 1; i >= 0; i--) { + vector &clause = ins->learnts[i]; + if (clause.size() > 3) + sspp::SwapDel(ins->learnts, i); + } + if (cpuTime() < config.timelim) + SAT_FLE(); + + if (learnts * 3 / 2 < ins->learnts.size()) { + if (ins->vars > 0) { + int m = ins->clauses.size() / ins->vars; + int len = std::max(m + 1, 3); + for (int i = ins->learnts.size() - 1; i >= 0; i--) { + vector &clause = ins->learnts[i]; + if (clause.size() > len) + sspp::SwapDel(ins->learnts, i); + } + } + } + + printCNFInfo("Simp"); + + ins = NULL; + + return true; +} + +template bool Preprocessor::SAT_FLE() { + TestSolver S(ins->vars, ins->clauses, ins->learnts, ins->assignedLits); + + if (!S.okay()) + return false; + + if (!S.FailedLiterals() || S.Solve() == l_False) { + ins->unsat = true; + return false; + } + + S.exportLearnts(ins->learnts); + Compact(S.getAssigns()); + sspp::SortAndDedup(ins->clauses); + sspp::SortAndDedup(ins->learnts); + Subsume(); + + if (config.verb >= 1) + printCNFInfo("SAT_FLE"); + + return true; +} + +template bool Preprocessor::Strengthen() { + TestSolver S(ins->vars, ins->clauses, ins->learnts, ins->assignedLits); + bool removecl = false; + bool removelit = false; + + for (int i = ins->clauses.size() - 1; i >= 0; i--) { + vec assump; + + for (int j = ins->clauses[i].size() - 1; j >= 0; j--) { + assump.clear(); + removelit = false; + + for (int k = 0; k < ins->clauses[i].size(); k++) { + Lit l = ins->clauses[i][k]; + if (S.value(l) == l_True) { + removecl = true; + break; + } + if (k == j) { + if (S.value(l) == l_False) { + removelit = true; + break; + } + } else if (S.value(l) == l_Undef) { + assump.push(~l); + } + } + if (removecl) + break; + + if (removelit || S.falsifiedBy(assump)) { + for (int k = j + 1; k < ins->clauses[i].size(); k++) + ins->clauses[i][k - 1] = ins->clauses[i][k]; + ins->clauses[i].pop_back(); + + if (ins->clauses[i].size() == 1) { + S.assign(ins->clauses[i][0]); + S.bcp(); // no conflict because SAT test was already passed. + removecl = true; + break; + } + } + } + if (removecl) { + sspp::SwapDel(ins->clauses, i); + removecl = false; + } + } + + S.exportLearnts(ins->learnts); + Compact(S.getAssigns()); + sspp::SortAndDedup(ins->clauses); + sspp::SortAndDedup(ins->learnts); + Subsume(); + + if (config.verb >= 1) + printCNFInfo("ClStrg"); + + return true; +} + +template bool Preprocessor::MergeAdjEquivs() { + // This merges equivalent adjacent literals. + // The equivalence check is lazy, using unit propagation not Sat solving. + + Identifier Id(ins->vars); + { + vector adjmat; + adjmat.resize(ins->vars); + for (int i = 0; i < ins->vars; i++) + adjmat[i] = sspp::Bitset(ins->vars); + + for (const auto &cls : {ins->clauses, ins->learnts}) { + for (const auto &clause : cls) + for (int i = 0; i < clause.size(); i++) + for (int j = i + 1; j < clause.size(); j++) { + Var v1 = var(clause[i]); + Var v2 = var(clause[j]); + if (!adjmat[v1].Get(v2)) { + adjmat[v1].SetTrue(v2); + adjmat[v2].SetTrue(v1); + } + } + } + + // + // assert: any projected var idx < any non-projceted var idx + // + + TestSolver S(ins->vars, ins->clauses, ins->learnts, ins->assignedLits); + Glucose1::vec &trail = S.getTrail(); + + for (Var v1 = 0; v1 < ins->vars; v1++) { + for (Var v2 = v1 + 1; v2 < ins->vars; v2++) { + if (!adjmat[v1].Get(v2)) + continue; + + Lit l1 = mkLit(v1); + Lit l2 = mkLit(v2); + int idx1, idx2; + + if (S.value(l1) != l_Undef) + break; + if (S.value(l2) != l_Undef) + continue; + + int pos = trail.size(); + + if (S.falsifiedBy(l1, l2) && S.falsifiedBy(~l1, ~l2)) { + Id.identify(l1, ~l2); + } else if (S.falsifiedBy(l1, ~l2) && S.falsifiedBy(~l1, l2)) { + Id.identify(l1, l2); + } + + if (trail.size() - pos > 0) { + int ppos = pos; + int cpos = trail.size(); + + while (ppos < cpos) { + for (int i = ppos; i < cpos; i++) { + int idx = Id.getIndex(trail[i]); + if (idx == -1) { + S.assign(trail[i]); + } else { + for (Lit l : Id.getEquivClasses()[idx]) + S.assign(l); + } + S.bcp(); + + Id.removeEquivClass(trail[i]); + } + ppos = cpos; + cpos = trail.size(); + } + for (int i = pos; i < trail.size(); i++) + ins->assignedLits.push_back(trail[i]); + } + } + } + } + + bool subsump = false; + if (Id.hasEquiv()) { + vector map(2 * ins->vars); + int new_id = 0; + for (int i = 0; i < ins->vars; i++) { + Lit dl = Id.delegateLit(mkLit(i)); + Lit l = mkLit(i); + + if (mkLit(i) == dl) { + Lit newlit = mkLit(new_id); + map[toInt(l)] = newlit; + map[toInt(~l)] = ~newlit; + if (ins->weighted && i < ins->npvars) { + ins->lit_weights[toInt(newlit)] = ins->lit_weights[toInt(l)]; + ins->lit_weights[toInt(~newlit)] = ins->lit_weights[toInt(~l)]; + } + new_id++; + } else { + Lit newlit = map[toInt(dl)]; + map[toInt(l)] = newlit; + map[toInt(~l)] = ~newlit; + if (ins->weighted && i < ins->npvars) { + ins->lit_weights[toInt(newlit)] *= ins->lit_weights[toInt(l)]; + ins->lit_weights[toInt(~newlit)] *= ins->lit_weights[toInt(~l)]; + } + } + if (i == ins->npvars - 1) + ins->npvars = new_id; + } + ins->vars = new_id; + ins->ispvars.clear(); + ins->ispvars.resize(ins->npvars, true); + ins->ispvars.resize(ins->vars, false); + + if (ins->assignedLits.size() > 0) { + vector assignedLits_new; + for (Lit l : ins->assignedLits) + assignedLits_new.push_back(map[toInt(l)]); + ins->assignedLits = assignedLits_new; + } + + RewriteClauses(ins->clauses, map); + RewriteClauses(ins->learnts, map); + + // update the variable map + if (ins->keepVarMap) { + for (int i = 0; i < ins->gmap.size(); i++) { + Lit l = ins->gmap[i]; + if (l == lit_Undef) + continue; + ins->gmap[i] = map[toInt(l)]; + } + } + + subsump = true; + } + + if (ins->assignedLits.size() > 0) { + sspp::SortAndDedup(ins->assignedLits); + + TestSolver S(ins->vars, ins->clauses, ins->learnts, ins->assignedLits); + Compact(S.getAssigns()); + sspp::SortAndDedup(ins->clauses); + sspp::SortAndDedup(ins->learnts); + + subsump = true; + } + + if (subsump) + Subsume(); + + if (config.verb >= 1) + printCNFInfo("EquivEl"); + return true; +} + +template bool Preprocessor::VariableEliminate(bool dve) { + vector vars; + int origclssz = ins->clauses.size(); + int reps = dve ? config.dve_reps : config.ve_reps; + int times = 0; + while (times < reps) { + vars.clear(); + if (dve) + pickDefVars(vars); + else + pickVars(vars); + + if (vars.size() == 0) + break; + + int lastidx = ElimVars(vars); + + vec cassign; + if (ins->assignedLits.size() > 0) { + sspp::SortAndDedup(ins->assignedLits); + TestSolver S(ins->vars, ins->clauses, ins->learnts, ins->assignedLits); + S.getAssigns().copyTo(cassign); + } else { + cassign.growTo(ins->vars, l_Undef); + } + + // Here we abuse Compact, assuming that deleted vars was assigned. + // We can assume that the deleted vars are non-projected vars or the + // counting mode is not a weighted one. + assert(lastidx <= vars.size()); + vars.resize(lastidx); + for (int i = 0; i < lastidx; i++) { + Var v = vars[i]; + if (cassign[v] == l_Undef) + cassign[v] = l_True; // just want to treat v as not a free variable and + // eliminate... + } + + Compact(cassign, vars); + Subsume(); + + times++; + if (times % 1000 == 0 && config.verb >= 1) + printCNFInfo(dve ? "DefVE" : "VE"); + if (ins->clauses.size() > origclssz) + break; + } + + if (config.verb >= 1) + printCNFInfo(dve ? "DefVE" : "VE"); + + return true; +} + +template +inline bool +Preprocessor::isVECandidate(Graph &G, bool def, vector &freq, + std::vector &cl_size, int i) const { + return (G.isSimplical(i) && + min(freq[toInt(mkLit(i))], freq[toInt(~mkLit(i))]) <= 4) || + (config.ve_more && (freq[toInt(mkLit(i))] * freq[toInt(~mkLit(i))] <= + freq[toInt(mkLit(i))] + freq[toInt(~mkLit(i))])); +} + +template void Preprocessor::pickVars(vector &vars) { + vars.clear(); + + vector freq; + vector cl_size; + Graph G(ins->vars, ins->clauses, ins->learnts, freq, cl_size); + + for (int i = ins->npvars; i < ins->vars; i++) { // for only projected vars + if (isVECandidate(G, false, freq, cl_size, i)) + vars.push_back(i); + } + + sort(vars.begin(), vars.end(), [&](int a, int b) { + int ca = freq[toInt(mkLit(a))] * freq[toInt(~mkLit(a))]; + int cb = freq[toInt(mkLit(b))] * freq[toInt(~mkLit(b))]; + if (ca == cb) { + return cl_size[a] > cl_size[b]; + } + return ca < cb; + }); +} + +template +void Preprocessor::pickDefVars(vector &vars) { + vars.clear(); +#if 0 + vector map(ins->vars); + vector candv; + + double stime = cpuTime(); + vector freq; + { + Graph G(ins->vars, ins->clauses, ins->learnts, freq); + + int count = 0; + for (int i = 0; i < ins->npvars; i++) { + map[i] = i; + + if (isVECandidate(G, true, freq, i)) { + if (ins->weighted && ins->lit_weights[toInt(mkLit(i))] != + ins->lit_weights[toInt(~mkLit(i))]) + continue; + + map[i] = ((ins->vars << 1) - ins->npvars) + candv.size(); + candv.push_back(i); + } + } + } + + if (candv.size() == 0) + return; + + int newvars = + ((ins->vars + candv.size()) << 1) - + ins->npvars; // ins->vars + candv.size()*2 + ins->vars - ins->npvars; + TestSolver S(newvars); + for (const auto &clause : ins->clauses) { + S.addClauseWith(clause); // add the existing clause + + bool toduplicate = false; + for (Lit l : clause) + if (var(l) >= ins->npvars || map[var(l)] >= ins->vars) { + toduplicate = true; + break; + } + + if (toduplicate) { + vector newc; + for (Lit l : clause) { + Lit nl; + if (var(l) >= ins->npvars) + nl = mkLit((ins->vars - ins->npvars) + var(l), sign(l)); + else if (map[var(l)] >= ins->vars) + nl = mkLit(map[var(l)], sign(l)); + else + nl = l; + assert(var(nl) < newvars); + newc.push_back(nl); + } + S.addClauseWith(newc); + } + } + for (int v : candv) { + S.addClauseWith({~mkLit(map[v] + candv.size()), mkLit(v), ~mkLit(map[v])}); + S.addClauseWith({~mkLit(map[v] + candv.size()), ~mkLit(v), mkLit(map[v])}); + } + + vector def(ins->npvars, false); + vec assumptions; + for (int v : candv) { + assumptions.clear(); + assumptions.push(mkLit(v)); + assumptions.push(~mkLit(map[v])); + for (int w : candv) { + if (w != v && !def[w]) { + assumptions.push(mkLit(map[w] + candv.size())); + } + } + if (S.Solve(assumptions) == l_False) { + def[v] = true; + vars.push_back(v); + } + + if (cpuTime() - stime > config.dve_timelimit) + break; + } +#endif + + ArjunNS::Arjun arjun; + arjun.new_vars(ins->vars); + for (auto cl : ins->clauses) { + std::vector cl_conf; + for (auto l : cl) { + cl_conf.push_back(CMSat::Lit(var(l), sign(l))); + } + arjun.add_clause(cl_conf); + } + std::vector sample; + for (int i = 0; i < ins->npvars; i++) { + sample.push_back(i); + } + arjun.set_sampl_vars(sample); + std::vector indpendent = arjun.run_backwards(); + std::unordered_set set(indpendent.begin(), indpendent.end()); + + vector freq; + vector cl_size; + Graph G(ins->vars, ins->clauses, ins->learnts, freq, cl_size); + for (int i = 0; i < ins->npvars; i++) { + if (set.find(i) == set.end() && isVECandidate(G, true, freq, cl_size, i)) { + vars.push_back(i); + } + } + sort(vars.begin(), vars.end(), [&](int a, int b) { + int ca = freq[toInt(mkLit(a))] * freq[toInt(~mkLit(a))]; + int cb = freq[toInt(mkLit(b))] * freq[toInt(~mkLit(b))]; + if (ca == cb) { + float ca = cl_size[toInt(mkLit(a))] + cl_size[toInt(~mkLit(a))]; + float cb = cl_size[toInt(mkLit(b))] + cl_size[toInt(~mkLit(b))]; + return ca > cb; + } + return ca < cb; + }); +} + +template +int Preprocessor::ElimVars(const vector &vars) { + int idx = 0; + int origclssz = ins->clauses.size(); + + vector deleted(ins->vars, false); + for (; idx < vars.size(); idx++) { + Var v = vars[idx]; + if (ins->clauses.size() > origclssz) + break; + + if (config.ve_check) { + int p = 0, n = 0; + for (int i = ins->clauses.size() - 1; i >= 0; i--) { + vector &clause = ins->clauses[i]; + for (int j = 0; j < clause.size(); j++) { + if (var(clause[j]) == v) { + bool negative = sign(clause[j]); + if (negative) { + n++; + } else { + p++; + } + break; + } + } + } + if (!(min(p, n) <= 4 || p * n <= n + p)) { + break; + } + } + vector> pos; + vector> neg; + + // find clauses with literals of v + for (int i = ins->clauses.size() - 1; i >= 0; i--) { + vector &clause = ins->clauses[i]; + for (int j = 0; j < clause.size(); j++) { + if (var(clause[j]) == v) { + bool negative = sign(clause[j]); + sspp::ShiftDel(clause, j); + + if (negative) { + neg.push_back(clause); + } else { + pos.push_back(clause); + } + sspp::SwapDel(ins->clauses, i); + break; + } + } + } + + // var elimination by resolution + for (const auto &c1 : pos) { + for (const auto &c2 : neg) { + vector newc; + bool taut = false; + int i = 0; + int j = 0; + + while (i < c1.size()) { + while (j < c2.size() && var(c2[j]) < var(c1[i])) { + newc.push_back(c2[j]); + j++; + } + if (j < c2.size() && var(c2[j]) == var(c1[i])) { + if (c2[j] == c1[i]) { + newc.push_back(c2[j]); + i++, j++; + continue; + } else { + taut = true; + break; + } + } else { + newc.push_back(c1[i]); + i++; + } + } + while (j < c2.size()) { + newc.push_back(c2[j]); + j++; + } + if (!taut) { + if (newc.size() == 1) + ins->assignedLits.push_back(newc[0]); + else + ins->clauses.push_back(newc); + } + } + } + + if (neg.size() == 0) { + // MEMO: v is defined by others. Thus, v must be true on all models. + ins->assignedLits.push_back(mkLit(v)); + } else if (pos.size() == 0) { + ins->assignedLits.push_back(~mkLit(v)); + } else { + deleted[v] = true; + } + } + + for (int i = ins->learnts.size() - 1; i >= 0; i--) { + vector &clause = ins->learnts[i]; + for (int j = 0; j < clause.size(); j++) { + if (deleted[var(clause[j])]) { + sspp::SwapDel(ins->learnts, i); + break; + } + } + } + return idx; +} + +static inline lbool val(const vec &assigns, Lit p) { + return assigns[var(p)] ^ sign(p); +} + +template +void Preprocessor::Compact(const vec &assigns, + const vector &elimvars) { + int varnum = 0; + vector occurred; + occurred.resize(ins->vars, false); + + // Compact Clauses + CompactClauses(assigns, ins->clauses, occurred, varnum); + CompactClauses(assigns, ins->learnts, occurred, varnum); + + // Compact Variables + int new_idx = 0; + vector map; + vector nonpvars; + + map.clear(); + map.resize(ins->vars, var_Undef); + if (ins->keepVarMap) + for (auto v : elimvars) + if (v < ins->npvars) + map[v] = GPMC::var_Determined; + + nonpvars.reserve(ins->vars - ins->npvars); + + vector lit_weights2; + if (ins->weighted) { + lit_weights2 = ins->lit_weights; + ins->lit_weights.resize(varnum * 2); + } + + for (Var v = 0; v < ins->vars; v++) { + if (occurred[v]) { + if (ins->ispvars[v]) { + map[v] = new_idx; + if (ins->weighted) { + ins->lit_weights[toInt(mkLit(new_idx))] = + lit_weights2[toInt(mkLit(v))]; + ins->lit_weights[toInt(~mkLit(new_idx))] = + lit_weights2[toInt(~mkLit(v))]; + } + new_idx++; + } else + nonpvars.push_back(v); + } else { + if (ins->ispvars[v]) { + if (assigns[v] == l_Undef) { + ins->freevars++; + if (ins->weighted) + ins->gweight *= lit_weights2[toInt(mkLit(v, true))] + + lit_weights2[toInt(mkLit(v, false))]; + } else { + if (ins->weighted) + ins->gweight *= + lit_weights2[toInt(mkLit(v, assigns[v] == l_False))]; + } + } + } + } + + ins->npvars = new_idx; + for (int i = 0; i < nonpvars.size(); i++) { + map[nonpvars[i]] = new_idx; + new_idx++; + } + ins->vars = new_idx; + + ins->ispvars.clear(); + ins->ispvars.resize(ins->npvars, true); + ins->ispvars.resize(ins->vars, false); + + // Replace literals according to map + RewriteClauses(ins->clauses, map); + RewriteClauses(ins->learnts, map); + + // update the variable map + if (ins->keepVarMap) { + std::unordered_map table; + + for (int i = 0; i < ins->gmap.size(); i++) { + Lit l = ins->gmap[i]; + if (l == lit_Undef) + continue; + + Var x = var(ins->gmap[i]); + if (assigns[x] == l_Undef) { + Var newv = map[var(l)]; + if (newv >= 0) { + ins->gmap[i] = mkLit(newv, sign(l)); + } else { + assert(newv == var_Undef); + auto itr = table.find(x); + if (itr == table.end()) { + table[x] = ins->freeLitClasses.size(); + ins->freeLitClasses.push_back({mkLit(i, sign(l))}); + } else { + ins->freeLitClasses[itr->second].push_back(mkLit(i, sign(l))); + } + ins->gmap[i] = lit_Undef; + } + } else if (map[var(l)] == GPMC::var_Determined) { + ins->definedVars.push_back(i); + ins->gmap[i] = lit_Undef; + } else { + bool lsign = ((assigns[x] == l_False) != sign(l)); + ins->fixedLits.push_back(mkLit(i, lsign)); + ins->gmap[i] = lit_Undef; + } + } + } + + ins->assignedLits.clear(); +} + +template +void Preprocessor::CompactClauses(const vec &assigns, + vector> &cls, + vector &occurred, int &varnum) { + int i1, i2; + int j1, j2; + + for (i1 = 0, i2 = 0; i1 < cls.size(); i1++) { + vector &c = cls[i1]; + for (j1 = 0, j2 = 0; j1 < c.size(); j1++) { + if (val(assigns, c[j1]) == l_Undef) + c[j2++] = c[j1]; + else if (val(assigns, c[j1]) == l_True) { + goto NEXTC; + } + } + c.resize(j2); + assert(c.size() == j2); + assert(c.size() > 1); + + for (auto l : c) { + Var v = var(l); + if (!occurred[v]) { + occurred[v] = true; + varnum++; + } + } + + cls[i2++] = cls[i1]; + NEXTC:; + } + cls.resize(i2); +} + +template +void Preprocessor::RewriteClauses(vector> &cls, + const vector &map) { + // We assume that map is injective for active variables, i.e., this does not + // change the length of clauses. + + for (int i = 0; i < cls.size(); i++) { + vector &c = cls[i]; + for (int j = 0; j < c.size(); j++) + c[j] = mkLit(map[var(c[j])], sign(c[j])); + sort(c.begin(), c.end()); + } +} + +template +void Preprocessor::RewriteClauses(vector> &cls, + const vector &map) { + // map may not be injective, i.e., this may strengthen clauses. + + for (int i = 0; i < cls.size(); i++) { + vector &c = cls[i]; + for (int j = 0; j < c.size(); j++) + c[j] = map[toInt(c[j])]; + + sspp::SortAndDedup(c); + + bool unit = false; + bool taut = false; + if (c.size() == 1) { + ins->assigns[var(c[0])] = sign(c[0]) ? l_False : l_True; + ins->assignedLits.push_back(c[0]); + unit = true; + } else { + for (int j = 1; j < c.size(); j++) + if (var(c[j]) == var(c[j - 1])) { + taut = true; + break; + } + } + if (unit || taut) { + sspp::SwapDel(cls, i); + i--; + } + } +} + +template void Preprocessor::Subsume() { + { + sspp::Subsumer subsumer; + ins->clauses = subsumer.Subsume(ins->clauses); + sspp::SortAndDedup(ins->clauses); + } + + if (ins->learnts.empty()) + return; + for (const auto &clause : ins->clauses) { + ins->learnts.push_back(clause); + } + + { + sspp::Subsumer subsumer_lrnt; + ins->learnts = subsumer_lrnt.Subsume(ins->learnts); + sspp::SortAndDedup(ins->learnts); + } + + for (int i = 0; i < ins->learnts.size(); i++) { + if (std::binary_search(ins->clauses.begin(), ins->clauses.end(), + ins->learnts[i])) { + sspp::SwapDel(ins->learnts, i); + i--; + } + } +} + +template class PPMC::Preprocessor; diff --git a/3rdParty/GPMC/preprocessor/Preprocessor.h b/3rdParty/GPMC/preprocessor/Preprocessor.h new file mode 100644 index 00000000..030e9d14 --- /dev/null +++ b/3rdParty/GPMC/preprocessor/Preprocessor.h @@ -0,0 +1,91 @@ +#ifndef Preprocessor_h +#define Preprocessor_h + +#include +#include +#include + +#include "core/Config.h" +#include "core/Instance.h" +#include "gmpxx.h" + +#include "preprocessor/IFlowCutter.h" +#include "preprocessor/TreeDecomposition.h" + +#include "mtl/Vec.h" +#include "utils/System.h" + +namespace PPMC { + +class Identifier { +public: + Identifier(int vars) { cidx.resize(2*vars, -1); num_elem = 0; } + + void identify(Glucose1::Lit l1, Glucose1::Lit l2); + + bool hasEquiv() { return num_elem > 0; } + std::vector>& getEquivClasses() { return eqc; } + Glucose1::Lit delegateLit(Glucose1::Lit l) { return (cidx[toInt(l)] == -1) ? l : eqc[cidx[toInt(l)]][0]; } + int getIndex(Glucose1::Lit l) { return cidx[toInt(l)]; } + void removeEquivClass(Glucose1::Lit l); + +private: + void MergeEquivClasses(int c1, int c2); + + std::vector> eqc; + std::vector cidx; + int num_elem; +}; + +template +class Preprocessor { + friend class Solver; +public: + Preprocessor() : ins(NULL) { }; + + void setConfig(GPMC::ConfigPreprocessor& conf) { this->config = conf; } + + bool Simplify(GPMC::Instance* ins); + +private: + bool SAT_FLE(); + bool Strengthen(); + bool MergeAdjEquivs(); + bool VariableEliminate(bool dve); + void pickVars(std::vector& vars); + + void pickDefVars(std::vector& vars); + + int ElimVars(const std::vector& del); + + void Compact(const Glucose1::vec& assigns, const std::vector& elimvars={}); + void CompactClauses(const Glucose1::vec& assigns, std::vector>& cls, std::vector& occurred, int& varnum); + void RewriteClauses(std::vector>& cls, const std::vector& map); + void RewriteClauses(std::vector>& cls, const std::vector& map); + void Subsume(); + + bool isVECandidate(Graph& G,bool simple, std::vector& freq,std::vector& cl_size, int i) const; + + void printCNFInfo(const char* ppname = "", bool initial = false); + + GPMC::Instance *ins; + GPMC::ConfigPreprocessor config; +}; + +template +inline void Preprocessor::printCNFInfo(const char* ppname, bool initial) +{ + if(initial) + printf("c o [%-7s] %d vars (%d pvars), %d cls\n", ppname, ins->vars, ins->npvars, ins->clauses.size()); + else + printf("c o [%-7s] %d vars (%d pvars), %d cls, %d lrnts, %d fvars, elap. %.2lf s\n", ppname, ins->vars, ins->npvars, ins->clauses.size(), ins->learnts.size(), ins->freevars, Glucose1::cpuTime()); + + if(ins->weighted) + std::cout << "c o gweight " << ins->gweight << std::endl; + + fflush(stdout); +} + +} + +#endif /* Preprocessor_h */ diff --git a/3rdParty/GPMC/preprocessor/TestSolver.cc b/3rdParty/GPMC/preprocessor/TestSolver.cc new file mode 100644 index 00000000..71237c44 --- /dev/null +++ b/3rdParty/GPMC/preprocessor/TestSolver.cc @@ -0,0 +1,232 @@ +#include "TestSolver.h" +#include + +using namespace PPMC; +using namespace Glucose1; +using namespace std; + +TestSolver::TestSolver(int nvars, + vector> clauses_, + vector> learnts_, + vector assignedLits) +{ + newVars(nvars); + for(auto l : assignedLits) { + uncheckedEnqueue(l); + } + for(auto c : clauses_) + addClauseWith(c); + for(auto c : learnts_) + addClauseWith(c, true); + + if(!assignedLits.empty()) { + CRef confl = propagate(); + ok = (propagate() == CRef_Undef); + } +} + +void TestSolver::newVars(int nvars) +{ + watches .init(mkLit(nvars-1, true )); + watchesBin .init(mkLit(nvars-1, true )); + assigns .growTo(nvars, l_Undef); + vardata .growTo(nvars, mkVarData(CRef_Undef, 0)); + activity .growTo(nvars, 0); + seen .growTo(nvars, 0); + permDiff .growTo(nvars, 0); + polarity .growTo(nvars, true); + decision .growTo(nvars); + trail .capacity(nvars); + for(int i=0; i& ps, bool learnt) +{ + CRef cr = ca.alloc(ps, learnt); + if(!learnt) + clauses.push(cr); + else + learnts.push(cr); + attachClause(cr); +} + +inline void TestSolver::backTo(int pos) +{ + for(int c = trail.size()-1; c >= pos; c--){ + Var x = var(trail[c]); + assigns[x] = l_Undef; + } + qhead = pos; + trail.shrink(trail.size() - pos); +} + +bool TestSolver::falsifiedBy(Lit assump) +{ + int sz = trail.size(); + uncheckedEnqueue(assump); + CRef confl = propagate(); + backTo(sz); + + return confl != CRef_Undef; +} + +bool TestSolver::falsifiedBy(Lit l1, Lit l2) +{ + vec ps; + + ps.push(l1); + ps.push(l2); + return falsifiedBy(ps); +} + +bool TestSolver::falsifiedBy(vec& assump) +{ + int backtrack_level; + vec learnt_clause, selectors; + unsigned int nblevels,szWoutSelectors; + lbool result = l_Undef; + + for (;;){ + CRef confl = propagate(); + if (confl != CRef_Undef){ + // CONFLICT + if (decisionLevel() == 0) { + result = l_False; + break; + } + + learnt_clause.clear(); + selectors.clear(); + analyze(confl, learnt_clause, selectors, backtrack_level, nblevels, szWoutSelectors); + + cancelUntil(backtrack_level); + + if (learnt_clause.size() == 1) { + assert(value(learnt_clause[0])==l_Undef); + uncheckedEnqueue(learnt_clause[0]); + }else{ + CRef cr = ca.alloc(learnt_clause, true); + ca[cr].setLBD(nblevels); + ca[cr].setSizeWithoutSelectors(szWoutSelectors); + learnts.push(cr); + attachClause(cr); + + claBumpActivity(ca[cr]); + uncheckedEnqueue(learnt_clause[0], cr); + } + claDecayActivity(); + + }else{ + Lit next = lit_Undef; + + assert(decisionLevel() <= assump.size()); + + while (decisionLevel() < assump.size()) { + Lit p = assump[decisionLevel()]; + if (value(p) == l_True){ + newDecisionLevel(); + }else if (value(p) == l_False){ + learnt_clause.clear(); + analyzeFinal(~p, learnt_clause); + + if (learnt_clause.size() == 1){ + cancelUntil(0); + enqueue(learnt_clause[0]); + propagate(); + }else{ + CRef cr = ca.alloc(learnt_clause, true); + ca[cr].setLBD(nblevels); + ca[cr].setSizeWithoutSelectors(szWoutSelectors); + learnts.push(cr); + attachClause(cr); + claBumpActivity(ca[cr]); + } + claDecayActivity(); + result = l_False; + goto End; + }else{ + next = p; + break; + } + } + + if (decisionLevel() == assump.size()) break; + + newDecisionLevel(); + uncheckedEnqueue(next); + } + } + +End: + cancelUntil(0); + return result == l_False; +} + + +bool TestSolver::FailedLiterals() +{ + assert(decisionLevel()==0); + int minv = min(nVars(), 1000000); + + int last_size; + do { + last_size = trail.size(); + + for (Var v = 0; v < minv; v++) + if (value(v) == l_Undef) { + if(falsifiedBy(mkLit(v,true))) { + uncheckedEnqueue(mkLit(v, false)); + if(propagate() != CRef_Undef) return false; + } else if(falsifiedBy(mkLit(v,false))) { + uncheckedEnqueue(mkLit(v, true)); + if(propagate() != CRef_Undef) return false; + } + } + + } while (trail.size() > last_size); + + return true; +} + +void TestSolver::exportLearnts(vector>& ilearnts) +{ + ilearnts.clear(); + + if(learnts.size() == 0) return; + + if (learnts.size() >= clauses.size()) + reduceDB(); + + for(int i=0; i>& cls) +{ + for(int i=0; i 0); + vec tmp; + for(auto l : c) + tmp.push(l); + addClause_(tmp); + } +} + diff --git a/3rdParty/GPMC/preprocessor/TestSolver.h b/3rdParty/GPMC/preprocessor/TestSolver.h new file mode 100644 index 00000000..339cf9d2 --- /dev/null +++ b/3rdParty/GPMC/preprocessor/TestSolver.h @@ -0,0 +1,44 @@ +#ifndef TestSolver_h +#define TestSolver_h + +#include + +#include "core/Solver.h" + +namespace PPMC { + +class TestSolver: public Glucose1::Solver { +public: + TestSolver(int nvars) { newVars(nvars); } + TestSolver(int nvars, + std::vector> clauses, + std::vector> learnts, + std::vector assignedLits); + + void addClauseWith(const std::vector& ps, bool learnt=false); + void resetClauses(std::vector>& clauses); + + Glucose1::lbool Solve() { return solve_(); } + Glucose1::lbool Solve(const Glucose1::vec& assumptions) { budgetOff(); setConfBudget(clauses.size()*10); return solveLimited(assumptions);} + + bool falsifiedBy(Glucose1::Lit l); + bool falsifiedBy(Glucose1::Lit l1, Glucose1::Lit l2); + bool falsifiedBy(Glucose1::vec& assump); + bool FailedLiterals(); + + void exportLearnts(std::vector>& learnts); + + void assign(Glucose1::Lit l) { enqueue(l); } + bool bcp() { return propagate() == Glucose1::CRef_Undef; } + + Glucose1::vec& getAssigns() { return assigns; } + Glucose1::vec& getTrail() { return trail; } + +private: + void newVars(int nvars); + void backTo(int pos); + +}; +} + +#endif diff --git a/3rdParty/GPMC/preprocessor/TreeDecomposition.cc b/3rdParty/GPMC/preprocessor/TreeDecomposition.cc new file mode 100644 index 00000000..5b5555b6 --- /dev/null +++ b/3rdParty/GPMC/preprocessor/TreeDecomposition.cc @@ -0,0 +1,204 @@ +/* + * TreeDecomposition.cc + * + * Created on: 2022/03/29 + * Author: k-hasimt + */ + +#include "TreeDecomposition.h" + +#include +#include +using namespace std; + +// Graph +Graph::Graph(int vars, const vector>& clauses) +{ + clear(); + init(vars); + for(const auto& clause : clauses) + for(int i=0; i>& clauses, const vector>& learnts, vector& freq) +{ + clear(); + init(vars); + freq.resize(vars*2, 0); + + for(const auto& cls : {clauses, learnts}) { + for(const auto& clause : cls) { + for(int i=0; i>& clauses, const vector>& learnts, vector& freq,std::vector& cl_size) +{ + clear(); + init(vars); + freq.resize(vars*2, 0); + cl_size.resize(vars,0); + + for(const auto& cls : {clauses, learnts}) { + for(const auto& clause : cls) { + for(int i=0; i0){ + cl_size[i] /=sum; + } + + } + +} +void Graph::init(int n) +{ + nodes = n; + + adj_list.clear(); + adj_list.resize(nodes, {}); + + adj_mat.clear(); + adj_mat.resize(n); + for(int i=0; i& adj) +{ + for(int i=0; i=j) continue; + out << (i+1) << " " << (j+1) << endl; + } + } +} + +// TreeDecomposition +int TreeDecomposition::centroid(int npvars) { + int centroid = -1; + findCentroid(0, -1, centroid); + + int size = bags[centroid].size(); + int npvars_in_bags = 0; + for(int i = 0; i < size; i++) + if(bags[centroid][i] < npvars) npvars_in_bags++; + + cent = centroid; + printf("c o centroid bag size %d #npvars %d\n", size, npvars_in_bags); + return centroid; +} +int TreeDecomposition::findCentroid(int v, int parent, int ¢roid) const +{ + int intros = 0; + + for (auto ch : Neighbors(v)) { + if (ch == parent) continue; + intros += findCentroid(ch, v, centroid); + if (centroid != -1) + return intros; + } + + for (auto x : bags[v]) + if (parent == -1 || !inBag(parent, x)) { + intros++; + } + + if (intros >= gnodes / 2) + centroid = v; + + return intros; +} +vector TreeDecomposition::distanceFromCentroid(int npvars) +{ + int cen = cent == -1 ? centroid(npvars) : cent; + vector distance(gnodes, -1); + + computeDistance(cen, -1, 0, distance); + return distance; +} +void TreeDecomposition::computeDistance(int v, int parent, int depth, vector& distance) +{ + bool BagHasNewVar = false; + + for (auto x : bags[v]) { + if (parent == -1 || distance[x] == -1) { + distance[x] = depth; + BagHasNewVar = true; + } + } + + int d = BagHasNewVar ? depth+1 : depth; + + for (auto ch : Neighbors(v)) { + if (ch == parent) continue; + computeDistance(ch, v, d, distance); + } + +} + +void TreeDecomposition::toDimacs(ostream& out, int cent, int npvars) +{ + out << "s td " << bags.size() << " " << (tw+1) << " " << gnodes << endl; + out << "c pvars " << npvars << endl; + if(cent >= 0) + out << "c centroid " << cent << endl; + + int count = 1; + for(const auto& bag : bags) { + out << "b " << count ; + for(auto v : bag) { + out << " " << (v+1); + } + out << endl; + count++; + } + + Graph::toDimacs(out, false); +} diff --git a/3rdParty/GPMC/preprocessor/TreeDecomposition.h b/3rdParty/GPMC/preprocessor/TreeDecomposition.h new file mode 100644 index 00000000..80dcefad --- /dev/null +++ b/3rdParty/GPMC/preprocessor/TreeDecomposition.h @@ -0,0 +1,90 @@ +/* + * TreeDecomposition.h + * + * Created on: 2022/03/29 + * Author: k-hasimt + */ + +#ifndef PREPROCESSOR_TREEDECOMPOSITION_H_ +#define PREPROCESSOR_TREEDECOMPOSITION_H_ + +#include +#include + +#include "lib_sharpsat_td/bitset.hpp" +#include "core/SolverTypes.h" + +class Graph { +public: + Graph() : nodes(0), edges(0) { } + Graph(int vars, const std::vector>& clauses); + Graph(int vars, const std::vector>& clauses, const std::vector>& learnts, std::vector& freq); + + Graph(int vars, const std::vector>& clauses, const std::vector>& learnts, std::vector& freq,std::vector&cl_size); + + void init(int n); + void clear(); + + int numNodes() { return this->nodes; } + int numEdges() { return this->edges; } + + void addEdge(int v1, int v2); + bool hasEdge(int v1, int v2) { return adj_mat[v1].Get(v2); } + const std::vector Neighbors(int v) const { return adj_list[v]; } + + bool isSimplical(int v,int proj) { + bool clean = true; + for(auto v:adj_list[v]){ + clean &= v>=proj; + } + if(clean){ + return true; + } + + return isClique(adj_list[v]); + } + + bool isSimplical(int v) { return isClique(adj_list[v]); } + bool isClique(const std::vector& adj); + + // Debug + void toDimacs(std::ostream& out, bool withHeader=true); + +protected: + int nodes; + int edges; + std::vector> adj_list; + std::vector adj_mat; +}; + +class TreeDecomposition : public Graph { +public: + TreeDecomposition() : tw(0), gnodes(0), cent(-1) { } + + void initBags() { bags.clear(); bags.resize(nodes); } + void setBag(int v, std::vector bag) { bags[v] = bag; } + std::vector>& Bags() { return bags; } + bool inBag(int v, int x) const { return std::binary_search(bags[v].begin(), bags[v].end(), x); } + + void setWidth(int width) { tw = width; } + int width() const { return tw; } + + void setNumGraphNodes(int n) { gnodes = n; } + + int centroid(int npvars); + std::vector distanceFromCentroid(int npvars); + + // Debug + void toDimacs(std::ostream& out, int cent, int npvars); + +private: + int findCentroid(int v, int parent, int& centroid) const; + void computeDistance(int v, int parent, int depth, std::vector& distance); + + std::vector> bags; + int tw; + int gnodes; + int cent; +}; + +#endif /* PREPROCESSOR_TREEDECOMPOSITION_H_ */ diff --git a/3rdParty/GPMC/preprocessor/lib_sharpsat_td/LICENSE b/3rdParty/GPMC/preprocessor/lib_sharpsat_td/LICENSE new file mode 100644 index 00000000..8701d473 --- /dev/null +++ b/3rdParty/GPMC/preprocessor/lib_sharpsat_td/LICENSE @@ -0,0 +1,27 @@ +SharpSAT-TD is a modification of SharpSAT (MIT License, 2019 Marc Thurley). + +See licenses of other components in: + +flowcutter/LICENSE +src/clhash/LICENSE + + +SharpSAT-TD -- Copyright (c) 2021 Tuukka Korhonen + +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. \ No newline at end of file diff --git a/3rdParty/GPMC/preprocessor/lib_sharpsat_td/README.txt b/3rdParty/GPMC/preprocessor/lib_sharpsat_td/README.txt new file mode 100644 index 00000000..a857ffd0 --- /dev/null +++ b/3rdParty/GPMC/preprocessor/lib_sharpsat_td/README.txt @@ -0,0 +1,9 @@ +The four files in this directory are copies of source code files of the preprocessor of SharpSAT-TD. +- bitset.cpp +- subsumer.cpp +- subsumer.hpp +- utils.hpp + +https://github.com/Laakeri/sharpsat-td + +2022 Kenji Hashimoto \ No newline at end of file diff --git a/3rdParty/GPMC/preprocessor/lib_sharpsat_td/bitset.hpp b/3rdParty/GPMC/preprocessor/lib_sharpsat_td/bitset.hpp new file mode 100644 index 00000000..24041822 --- /dev/null +++ b/3rdParty/GPMC/preprocessor/lib_sharpsat_td/bitset.hpp @@ -0,0 +1,304 @@ +#pragma once + +#include +#include +#include +#include +#include +#include +#include +#include + +#define BITS 64 + +namespace sspp { +class Bitset { + public: + uint64_t* data_; + size_t chunks_; + Bitset() { + chunks_ = 0; + data_ = nullptr; + } + explicit Bitset(size_t size) { + chunks_ = (size + BITS - 1) / BITS; + data_ = (uint64_t*)std::malloc(chunks_*sizeof(uint64_t)); + for (size_t i=0;iother.data_[i]) return false; + } + return false; + } + bool operator==(const Bitset& other) const { + for (size_t i=0;i& v) { + for (size_t x : v) { + SetTrue(x); + } + } + void SetTrue(const std::vector& v) { + for (int x : v) { + SetTrue(x); + } + } + void SetFalse(const std::vector& v) { + for (int x : v) { + SetFalse(x); + } + } + void FillTrue() { + for (size_t i=0;i Elements() const { + std::vector ret; + for (size_t i=0;ichunks_) { + pos_++; + if (pos_ < bitset_->chunks_) { + tb_ = bitset_->data_[pos_]; + } + } + return *this; + } + int operator*() const { + return pos_*BITS + __builtin_ctzll(tb_); + } + }; + + BitsetIterator begin() const { + size_t pos = 0; + while (pos < chunks_ && data_[pos] == 0) { + pos++; + } + if (pos < chunks_) { + return BitsetIterator(this, pos, data_[pos]); + } else { + return BitsetIterator(this, pos, 0); + } + } + BitsetIterator end() const { + return BitsetIterator(this, chunks_, 0); + } +}; +} // namespace sspp \ No newline at end of file diff --git a/3rdParty/GPMC/preprocessor/lib_sharpsat_td/subsumer.cpp b/3rdParty/GPMC/preprocessor/lib_sharpsat_td/subsumer.cpp new file mode 100644 index 00000000..b2d67fbb --- /dev/null +++ b/3rdParty/GPMC/preprocessor/lib_sharpsat_td/subsumer.cpp @@ -0,0 +1,197 @@ +#include "../lib_sharpsat_td/subsumer.hpp" + +#include +#include +#include + +//#include "utils.hpp" + +#define getD(e,i) data[(e.B) + (i)] + +namespace sspp { + +void Subsumer::assumeSize(size_t size) { + if (data.size() < size) { + data.resize(size); + } +} + +bool Subsumer::isPrefix(const vecP a, const vecP b) { + for (size_t i = 0; i < a.size(); i++) { + if (getD(a, i) != getD(b, i)) return false; + } + return true; +} + +bool Subsumer::CSO1(const vector& D, size_t b, size_t e, const vecP S, + size_t j, size_t d, const vector& d0Index) { + while (j < S.size() && getD(S, j) < getD(D[b], d)) j++; + if (j >= S.size()) return false; + + if (getD(S, j) == getD(D[b], d)) { + size_t ee = b; + if (d == 0) { + ee = d0Index[getD(S, j) + 1] - 1; + } + else if (e - b < BSconst) { + while (ee + 1 <= e && getD(D[ee + 1], d) == getD(S, j)) ee++; + } + else { + int mi = b; + int ma = e - 1; + while (mi <= ma) { + int mid = (mi+ma)/2; + if (getD(D[mid + 1], d) == getD(S, j)) { + ee = mid + 1; + mi = mid + 1; + } + else { + ma = mid - 1; + } + } + } + if (S.size() > d + 1 && D[b].size() == d + 1) { + return true; + } + if (j + 1 <= S.size()) { + if (CSO1(D, b, ee, S, j + 1, d + 1, d0Index)) { + return true; + } + } + b = ee + 1; + } + else { + if (d == 0) { + b = d0Index[getD(S, j)]; + } + else if (e - b < BSconst) { + while (b <= e && getD(D[b], d) < getD(S, j)) b++; + } + else { + int mi = b; + int ma = e; + while (mi <= ma) { + int mid = (mi+ma)/2; + if (getD(D[mid], d) < getD(S, j)) { + b = mid + 1; + mi = mid + 1; + } + else { + ma = mid - 1; + } + } + } + } + if (b <= e) return CSO1(D, b, e, S, j, d, d0Index); + return false; +} + +vector> Subsumer::Subsume(const vector>& clauses) { + vector D(clauses.size()); + vector d0Index; + ALIt++; + int pid = 0; + int maxFreq = 0; + size_t dataP = 0; + for (size_t i = 0; i < clauses.size(); i++) { + if (clauses[i].empty()) { + return {{}}; + } + for (size_t j = 0; j < clauses[i].size(); j++) { + data.push_back(toInt(clauses[i][j])); + } + D[i].B = dataP; + D[i].E = dataP + clauses[i].size(); + D[i].O = i; + dataP += D[i].size(); + + for (size_t j = D[i].B; j < D[i].E; j++) { + if ((int)ALU.size() <= data[j]) { + ALU.resize(data[j] + 1); + ALI.resize(data[j] + 1); + } + if (ALU[data[j]] != ALIt) { + ALU[data[j]] = ALIt; + if (pid >= (int)ALF.size()) ALF.resize(pid + 1); + ALF[pid] = 0; + ALI[data[j]] = pid++; + } + data[j] = ALI[data[j]]; + ALF[data[j]]++; + maxFreq = max(maxFreq, ALF[data[j]]); + } + } + vector > cSort(maxFreq + 1); + for (int i = 0; i < pid; i++) { + cSort[ALF[i]].push_back(i); + } + vector perm(pid); + size_t i2 = 0; + for (int i = 0; i <= maxFreq; i++) { + for (int t : cSort[i]) { + perm[t] = i2++; + } + } + for (size_t i = 0; i < D.size(); i++) { + for (size_t j = D[i].B; j < D[i].E; j++) { + data[j] = perm[data[j]]; + } + std::sort(data.data() + D[i].B, data.data() + D[i].E); + } + auto cmp = [&](vecP a, vecP b) { + if (getD(a, 0) < getD(b, 0)) return true; + else if (getD(a, 0) > getD(b, 0)) return false; + size_t sz = min(a.size(), b.size()); + for (size_t i = 1; i < sz; i++) { + if (getD(a, i) < getD(b, i)) return true; + else if (getD(a, i) > getD(b, i)) return false; + } + return a.size() < b.size(); + }; + vector > cSort2(pid); + for (size_t i = 0; i < D.size(); i++) { + cSort2[getD(D[i], 0)].push_back(D[i]); + } + size_t di = 0; + for (int i = 0; i < pid; i++) { + sort(cSort2[i].begin(), cSort2[i].end(), cmp); + for (size_t j = 0; j < cSort2[i].size(); j++) { + D[di++] = cSort2[i][j]; + } + } + d0Index.resize(pid + 1); + int idx = 0; + for (size_t i = 0; i < D.size(); i++) { + if (i == 0 || getD(D[i], 0) > getD(D[i - 1], 0)) { + while (idx <= getD(D[i], 0)) { + d0Index[idx++] = i; + } + } + } + while (idx <= pid) { + d0Index[idx++] = (int)D.size(); + } + vector subsumed(D.size()); + size_t S = 0; + for (size_t i = 1; i < D.size(); i++) { + if (D[S].size() <= D[i].size() && isPrefix(D[S], D[i])) { + subsumed[i] = true; + } + else { + S = i; + } + } + for (size_t i = 0; i + 1 < D.size(); i++) { + if (!subsumed[i] && CSO1(D, i + 1, D.size() - 1, D[i], 0, 0, d0Index)) { + subsumed[i] = true; + } + } + vector> ret; + for (size_t i = 0; i < D.size(); i++) { + if (!subsumed[i]) { + ret.push_back(clauses[D[i].O]); + } + } + return ret; +} +} // namespace sspp diff --git a/3rdParty/GPMC/preprocessor/lib_sharpsat_td/subsumer.hpp b/3rdParty/GPMC/preprocessor/lib_sharpsat_td/subsumer.hpp new file mode 100644 index 00000000..cf793fb9 --- /dev/null +++ b/3rdParty/GPMC/preprocessor/lib_sharpsat_td/subsumer.hpp @@ -0,0 +1,35 @@ +#pragma once + +#include +#include + +#include "../lib_sharpsat_td/utils.hpp" +#include "core/SolverTypes.h" + +namespace sspp { +class Subsumer{ +private: + vector ALU; + vector ALI; + int ALIt = 1; + vector ALF; + const size_t BSconst = 18; // magic constant + + struct vecP { + size_t B, E, O; + size_t size() const { + return E - B; + } + }; + + vector data; + + bool isPrefix(vecP a, vecP b); + void assumeSize(size_t size); + bool CSO1(const vector& D, size_t b, size_t e, const vecP S, + size_t j, size_t d, const vector& d0Index); + +public: + vector> Subsume(const vector>& clauses); +}; +} // namespace sspp diff --git a/3rdParty/GPMC/preprocessor/lib_sharpsat_td/utils.hpp b/3rdParty/GPMC/preprocessor/lib_sharpsat_td/utils.hpp new file mode 100644 index 00000000..ae1b292f --- /dev/null +++ b/3rdParty/GPMC/preprocessor/lib_sharpsat_td/utils.hpp @@ -0,0 +1,276 @@ +#pragma once + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "../lib_sharpsat_td/bitset.hpp" + +namespace sspp { +#define F first +#define S second +typedef int Lit; +typedef int Var; + +using std::vector; +using std::string; +using std::cout; +using std::cerr; +using std::endl; +using std::max; +using std::min; +using std::pair; +using std::to_string; +using std::swap; + +inline bool Subsumes(const vector& a, const vector& b) { + if (a.size() == b.size()) return a == b; + int j = 0; + for (int i = 0; i < (int)a.size(); i++) { + while (j < (int)b.size() && b[j] < a[i]) { + j++; + } + if (j == (int)b.size()) return false; + assert(b[j] >= a[i]); + if (b[j] > a[i]) return false; + } + return true; +} + +inline Lit Neg(Lit x) { + return x^1; +} + +inline Var VarOf(Lit x) { + return x/2; +} + +inline Lit PosLit(Var x) { + return x*2; +} + +inline Lit NegLit(Var x) { + return x*2+1; +} + +inline Lit MkLit(Var var, bool phase) { + if (phase) { + return PosLit(var); + } else { + return NegLit(var); + } +} + +inline bool IsPos(Lit x) { + return !(x&1); +} + +inline bool IsNeg(Lit x) { + return x&1; +} + +inline Lit FromDimacs(int64_t x) { + assert(x != 0); + assert(std::llabs(x) < (1ll << 30ll)); + if (x > 0) { + return PosLit(x); + } else { + return NegLit(-x); + } +} + +inline int64_t ToDimacs(Lit x) { + assert(x >= 2); + if (x&1) { + return -(int64_t)VarOf(x); + } else { + return VarOf(x); + } +} + +inline bool IsInt(const string& s, int64_t lb=std::numeric_limits::min(), int64_t ub=std::numeric_limits::max()) { + try { + int x = std::stoll(s); + return lb <= x && x <= ub; + } catch (...) { + return false; + } +} + +inline bool IsDouble(const string& s, double lb=std::numeric_limits::min(), double ub=std::numeric_limits::max()) { + try { + double x = std::stod(s); + return lb <= x && x <= ub; + } catch (...) { + return false; + } +} + +inline vector Negate(vector vec) { + for (Lit& lit : vec) { + lit = Neg(lit); + } + return vec; +} + +inline vector VarsOf(vector vec) { + for (Lit& lit : vec) { + lit = VarOf(lit); + } + return vec; +} + + +template +void Shuffle(vector& vec, std::mt19937& gen) { + std::shuffle(vec.begin(), vec.end(), gen); +} + +inline bool RandBool(std::mt19937& gen) { + return std::uniform_int_distribution(0,1)(gen); +} + +template +inline T RandInt(T a, T b, std::mt19937& gen) { + return std::uniform_int_distribution(a,b)(gen); +} + +template +T Power2(int p) { + assert(p >= 0); + if (p == 0) return 1; + if (p%2 == 0) { + T x = Power2(p/2); + return x*x; + } else { + return Power2(p-1)*2; + } +} + +inline bool IsClause(const vector& clause) { + for (size_t i = 1; i < clause.size(); i++) { + if (VarOf(clause[i]) <= VarOf(clause[i-1])) return false; + } + return true; +} + +template +bool IsSorted(const vector& vec) { + for (size_t i = 1; i < vec.size(); i++) { + if (vec[i] < vec[i-1]) return false; + } + return true; +} + +template +void Append(std::vector& a, const std::vector& b) { + a.reserve(a.size() + b.size()); + for (const T& x : b) { + a.push_back(x); + } +} + +template +std::vector PermInverse(const std::vector& perm) { + std::vector ret(perm.size()); + for (int i = 0; i < (int)perm.size(); i++) { + ret[perm[i]] = i; + } + return ret; +} + +inline Bitset ToBitset(const std::vector& a, int n) { + assert(n>=0); + Bitset bs(n); + for (int x : a) { + assert(x>=0&&x +void SortAndDedup(vector& vec) { + std::sort(vec.begin(), vec.end()); + vec.erase(std::unique(vec.begin(), vec.end()), vec.end()); +} + +template +void SwapDel(vector& vec, size_t i) { + assert(i < vec.size()); + std::swap(vec[i], vec.back()); + vec.pop_back(); +} + +template +void ShiftDel(vector& vec, size_t i) { + assert(i < vec.size()); + for (; i+1 < vec.size(); i++) { + vec[i] = std::move(vec[i+1]); + } + vec.pop_back(); +} + +template +int Ind(const std::vector& a, const T& x) { + int ind = std::lower_bound(a.begin(), a.end(), x) - a.begin(); + assert(a[ind] == x); + return ind; +} + +template +bool BS(const std::vector& a, const T x) { + return std::binary_search(a.begin(), a.end(), x); +} + +class Timer { + private: + bool timing; + std::chrono::duration elapsedTime; + std::chrono::time_point startTime; + public: + Timer(); + void start(); + void stop(); + void clear(); + double get() const; +}; + +inline Timer::Timer() { + timing = false; + elapsedTime = std::chrono::duration(std::chrono::duration_values::zero()); +} + +inline void Timer::start() { + if (timing) return; + timing = true; + startTime = std::chrono::steady_clock::now(); +} + +inline void Timer::stop() { + if (!timing) return; + timing = false; + std::chrono::time_point endTime = std::chrono::steady_clock::now(); + elapsedTime += (endTime - startTime); +} + +inline double Timer::get() const { + if (timing) { + auto tela = elapsedTime; + tela += (std::chrono::steady_clock::now() - startTime); + return tela.count(); + } + else { + return elapsedTime.count(); + } +} + +inline void Timer::clear() { + elapsedTime = std::chrono::duration(std::chrono::duration_values::zero()); +} +} // namespace sspp \ No newline at end of file diff --git a/3rdParty/GPMC/utils/Makefile b/3rdParty/GPMC/utils/Makefile new file mode 100644 index 00000000..204cea54 --- /dev/null +++ b/3rdParty/GPMC/utils/Makefile @@ -0,0 +1,4 @@ +EXEC = system_test +DEPDIR = mtl + +include $(MROOT)/mtl/template.mk diff --git a/3rdParty/GPMC/utils/Options.cc b/3rdParty/GPMC/utils/Options.cc new file mode 100644 index 00000000..fb64adb3 --- /dev/null +++ b/3rdParty/GPMC/utils/Options.cc @@ -0,0 +1,91 @@ +/**************************************************************************************[Options.cc] +Copyright (c) 2008-2010, Niklas Sorensson + +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. +**************************************************************************************************/ + +#include "mtl/Sort.h" +#include "utils/Options.h" +#include "utils/ParseUtils.h" + +using namespace Glucose1; + +void Glucose1::parseOptions(int& argc, char** argv, bool strict) +{ + int i, j; + for (i = j = 1; i < argc; i++){ + const char* str = argv[i]; + if (match(str, "--") && match(str, Option::getHelpPrefixString()) && match(str, "help")){ + if (*str == '\0') + printUsageAndExit(argc, argv); + else if (match(str, "-verb")) + printUsageAndExit(argc, argv, true); + } else { + bool parsed_ok = false; + + for (int k = 0; !parsed_ok && k < Option::getOptionList().size(); k++){ + parsed_ok = Option::getOptionList()[k]->parse(argv[i]); + + // fprintf(stderr, "checking %d: %s against flag <%s> (%s)\n", i, argv[i], Option::getOptionList()[k]->name, parsed_ok ? "ok" : "skip"); + } + + if (!parsed_ok) + if (strict && match(argv[i], "-")) + fprintf(stderr, "ERROR! Unknown flag \"%s\". Use '--%shelp' for help.\n", argv[i], Option::getHelpPrefixString()), exit(1); + else + argv[j++] = argv[i]; + } + } + + argc -= (i - j); +} + + +void Glucose1::setUsageHelp (const char* str){ Option::getUsageString() = str; } +void Glucose1::setHelpPrefixStr (const char* str){ Option::getHelpPrefixString() = str; } +void Glucose1::printUsageAndExit (int argc, char** argv, bool verbose) +{ + const char* usage = Option::getUsageString(); + if (usage != NULL) + fprintf(stderr, usage, argv[0]); + + sort(Option::getOptionList(), Option::OptionLt()); + + const char* prev_cat = NULL; + const char* prev_type = NULL; + + for (int i = 0; i < Option::getOptionList().size(); i++){ + const char* cat = Option::getOptionList()[i]->category; + const char* type = Option::getOptionList()[i]->type_name; + + if (cat != prev_cat) + fprintf(stderr, "\n%s OPTIONS:\n\n", cat); + else if (type != prev_type) + fprintf(stderr, "\n"); + + Option::getOptionList()[i]->help(verbose); + + prev_cat = Option::getOptionList()[i]->category; + prev_type = Option::getOptionList()[i]->type_name; + } + + fprintf(stderr, "\nHELP OPTIONS:\n\n"); + fprintf(stderr, " --%shelp Print help message.\n", Option::getHelpPrefixString()); + fprintf(stderr, " --%shelp-verb Print verbose help message.\n", Option::getHelpPrefixString()); + fprintf(stderr, "\n"); + exit(0); +} + diff --git a/3rdParty/GPMC/utils/Options.h b/3rdParty/GPMC/utils/Options.h new file mode 100644 index 00000000..a89f94ba --- /dev/null +++ b/3rdParty/GPMC/utils/Options.h @@ -0,0 +1,386 @@ +/***************************************************************************************[Options.h] +Copyright (c) 2008-2010, Niklas Sorensson + +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 Glucose1_Options_h +#define Glucose1_Options_h + +#include +#include +#include +#include + +#include "mtl/IntTypes.h" +#include "mtl/Vec.h" +#include "utils/ParseUtils.h" + +namespace Glucose1 { + +//================================================================================================== +// Top-level option parse/help functions: + + +extern void parseOptions (int& argc, char** argv, bool strict = false); +extern void printUsageAndExit(int argc, char** argv, bool verbose = false); +extern void setUsageHelp (const char* str); +extern void setHelpPrefixStr (const char* str); + + +//================================================================================================== +// Options is an abstract class that gives the interface for all types options: + + +class Option +{ + protected: + const char* name; + const char* description; + const char* category; + const char* type_name; + + static vec& getOptionList () { static vec options; return options; } + static const char*& getUsageString() { static const char* usage_str; return usage_str; } + static const char*& getHelpPrefixString() { static const char* help_prefix_str = ""; return help_prefix_str; } + + struct OptionLt { + bool operator()(const Option* x, const Option* y) { + int test1 = strcmp(x->category, y->category); + return test1 < 0 || test1 == 0 && strcmp(x->type_name, y->type_name) < 0; + } + }; + + Option(const char* name_, + const char* desc_, + const char* cate_, + const char* type_) : + name (name_) + , description(desc_) + , category (cate_) + , type_name (type_) + { + getOptionList().push(this); + } + + public: + virtual ~Option() {} + + virtual bool parse (const char* str) = 0; + virtual void help (bool verbose = false) = 0; + + friend void parseOptions (int& argc, char** argv, bool strict); + friend void printUsageAndExit (int argc, char** argv, bool verbose); + friend void setUsageHelp (const char* str); + friend void setHelpPrefixStr (const char* str); +}; + + +//================================================================================================== +// Range classes with specialization for floating types: + + +struct IntRange { + int begin; + int end; + IntRange(int b, int e) : begin(b), end(e) {} +}; + +struct Int64Range { + int64_t begin; + int64_t end; + Int64Range(int64_t b, int64_t e) : begin(b), end(e) {} +}; + +struct DoubleRange { + double begin; + double end; + bool begin_inclusive; + bool end_inclusive; + DoubleRange(double b, bool binc, double e, bool einc) : begin(b), end(e), begin_inclusive(binc), end_inclusive(einc) {} +}; + + +//================================================================================================== +// Double options: + + +class DoubleOption : public Option +{ + protected: + DoubleRange range; + double value; + + public: + DoubleOption(const char* c, const char* n, const char* d, double def = double(), DoubleRange r = DoubleRange(-HUGE_VAL, false, HUGE_VAL, false)) + : Option(n, d, c, ""), range(r), value(def) { + // FIXME: set LC_NUMERIC to "C" to make sure that strtof/strtod parses decimal point correctly. + } + + operator double (void) const { return value; } + operator double& (void) { return value; } + DoubleOption& operator=(double x) { value = x; return *this; } + + virtual bool parse(const char* str){ + const char* span = str; + + if (!match(span, "-") || !match(span, name) || !match(span, "=")) + return false; + + char* end; + double tmp = strtod(span, &end); + + if (end == NULL) + return false; + else if (tmp >= range.end && (!range.end_inclusive || tmp != range.end)){ + fprintf(stderr, "ERROR! value <%s> is too large for option \"%s\".\n", span, name); + exit(1); + }else if (tmp <= range.begin && (!range.begin_inclusive || tmp != range.begin)){ + fprintf(stderr, "ERROR! value <%s> is too small for option \"%s\".\n", span, name); + exit(1); } + + value = tmp; + // fprintf(stderr, "READ VALUE: %g\n", value); + + return true; + } + + virtual void help (bool verbose = false){ + fprintf(stderr, " -%-12s = %-8s %c%4.2g .. %4.2g%c (default: %g)\n", + name, type_name, + range.begin_inclusive ? '[' : '(', + range.begin, + range.end, + range.end_inclusive ? ']' : ')', + value); + if (verbose){ + fprintf(stderr, "\n %s\n", description); + fprintf(stderr, "\n"); + } + } +}; + + +//================================================================================================== +// Int options: + + +class IntOption : public Option +{ + protected: + IntRange range; + int32_t value; + + public: + IntOption(const char* c, const char* n, const char* d, int32_t def = int32_t(), IntRange r = IntRange(INT32_MIN, INT32_MAX)) + : Option(n, d, c, ""), range(r), value(def) {} + + operator int32_t (void) const { return value; } + operator int32_t& (void) { return value; } + IntOption& operator= (int32_t x) { value = x; return *this; } + + virtual bool parse(const char* str){ + const char* span = str; + + if (!match(span, "-") || !match(span, name) || !match(span, "=")) + return false; + + char* end; + int32_t tmp = strtol(span, &end, 10); + + if (end == NULL) + return false; + else if (tmp > range.end){ + fprintf(stderr, "ERROR! value <%s> is too large for option \"%s\".\n", span, name); + exit(1); + }else if (tmp < range.begin){ + fprintf(stderr, "ERROR! value <%s> is too small for option \"%s\".\n", span, name); + exit(1); } + + value = tmp; + + return true; + } + + virtual void help (bool verbose = false){ + fprintf(stderr, " -%-12s = %-8s [", name, type_name); + if (range.begin == INT32_MIN) + fprintf(stderr, "imin"); + else + fprintf(stderr, "%4d", range.begin); + + fprintf(stderr, " .. "); + if (range.end == INT32_MAX) + fprintf(stderr, "imax"); + else + fprintf(stderr, "%4d", range.end); + + fprintf(stderr, "] (default: %d)\n", value); + if (verbose){ + fprintf(stderr, "\n %s\n", description); + fprintf(stderr, "\n"); + } + } +}; + + +// Leave this out for visual C++ until Microsoft implements C99 and gets support for strtoll. +#ifndef _MSC_VER + +class Int64Option : public Option +{ + protected: + Int64Range range; + int64_t value; + + public: + Int64Option(const char* c, const char* n, const char* d, int64_t def = int64_t(), Int64Range r = Int64Range(INT64_MIN, INT64_MAX)) + : Option(n, d, c, ""), range(r), value(def) {} + + operator int64_t (void) const { return value; } + operator int64_t& (void) { return value; } + Int64Option& operator= (int64_t x) { value = x; return *this; } + + virtual bool parse(const char* str){ + const char* span = str; + + if (!match(span, "-") || !match(span, name) || !match(span, "=")) + return false; + + char* end; + int64_t tmp = strtoll(span, &end, 10); + + if (end == NULL) + return false; + else if (tmp > range.end){ + fprintf(stderr, "ERROR! value <%s> is too large for option \"%s\".\n", span, name); + exit(1); + }else if (tmp < range.begin){ + fprintf(stderr, "ERROR! value <%s> is too small for option \"%s\".\n", span, name); + exit(1); } + + value = tmp; + + return true; + } + + virtual void help (bool verbose = false){ + fprintf(stderr, " -%-12s = %-8s [", name, type_name); + if (range.begin == INT64_MIN) + fprintf(stderr, "imin"); + else + fprintf(stderr, "%4"PRIi64, range.begin); + + fprintf(stderr, " .. "); + if (range.end == INT64_MAX) + fprintf(stderr, "imax"); + else + fprintf(stderr, "%4"PRIi64, range.end); + + fprintf(stderr, "] (default: %"PRIi64")\n", value); + if (verbose){ + fprintf(stderr, "\n %s\n", description); + fprintf(stderr, "\n"); + } + } +}; +#endif + +//================================================================================================== +// String option: + + +class StringOption : public Option +{ + const char* value; + public: + StringOption(const char* c, const char* n, const char* d, const char* def = NULL) + : Option(n, d, c, ""), value(def) {} + + operator const char* (void) const { return value; } + operator const char*& (void) { return value; } + StringOption& operator= (const char* x) { value = x; return *this; } + + virtual bool parse(const char* str){ + const char* span = str; + + if (!match(span, "-") || !match(span, name) || !match(span, "=")) + return false; + + value = span; + return true; + } + + virtual void help (bool verbose = false){ + fprintf(stderr, " -%-10s = %8s\n", name, type_name); + if (verbose){ + fprintf(stderr, "\n %s\n", description); + fprintf(stderr, "\n"); + } + } +}; + + +//================================================================================================== +// Bool option: + + +class BoolOption : public Option +{ + bool value; + + public: + BoolOption(const char* c, const char* n, const char* d, bool v) + : Option(n, d, c, ""), value(v) {} + + operator bool (void) const { return value; } + operator bool& (void) { return value; } + BoolOption& operator=(bool b) { value = b; return *this; } + + virtual bool parse(const char* str){ + const char* span = str; + + if (match(span, "-")){ + bool b = !match(span, "no-"); + + if (strcmp(span, name) == 0){ + value = b; + return true; } + } + + return false; + } + + virtual void help (bool verbose = false){ + + fprintf(stderr, " -%s, -no-%s", name, name); + + for (uint32_t i = 0; i < 32 - strlen(name)*2; i++) + fprintf(stderr, " "); + + fprintf(stderr, " "); + fprintf(stderr, "(default: %s)\n", value ? "on" : "off"); + if (verbose){ + fprintf(stderr, "\n %s\n", description); + fprintf(stderr, "\n"); + } + } +}; + +//================================================================================================= +} + +#endif diff --git a/3rdParty/GPMC/utils/ParseUtils.h b/3rdParty/GPMC/utils/ParseUtils.h new file mode 100644 index 00000000..ec205230 --- /dev/null +++ b/3rdParty/GPMC/utils/ParseUtils.h @@ -0,0 +1,179 @@ +/************************************************************************************[ParseUtils.h] +Copyright (c) 2003-2006, Niklas Een, Niklas Sorensson +Copyright (c) 2007-2010, Niklas Sorensson + +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 Glucose1_ParseUtils_h +#define Glucose1_ParseUtils_h + +#include +#include +#include + +#include + +namespace Glucose1 { + +//------------------------------------------------------------------------------------------------- +// A simple buffered character stream class: + +static const int buffer_size = 1048576; + + +class StreamBuffer { + gzFile in; + unsigned char buf[buffer_size]; + int pos; + int size; + + void assureLookahead() { + if (pos >= size) { + pos = 0; + size = gzread(in, buf, sizeof(buf)); } } + +public: + explicit StreamBuffer(gzFile i) : in(i), pos(0), size(0) { assureLookahead(); } + + int operator * () const { return (pos >= size) ? EOF : buf[pos]; } + void operator ++ () { pos++; assureLookahead(); } + int position () const { return pos; } +}; + + +//------------------------------------------------------------------------------------------------- +// End-of-file detection functions for StreamBuffer and char*: + + +static inline bool isEof(StreamBuffer& in) { return *in == EOF; } +static inline bool isEof(const char* in) { return *in == '\0'; } + +//------------------------------------------------------------------------------------------------- +// Generic parse functions parametrized over the input-stream type. + + +template +static void skipWhitespace(B& in) { + while ((*in >= 9 && *in <= 13) || *in == 32) + ++in; } + + +template +static void skipLine(B& in) { + for (;;){ + if (isEof(in)) return; + if (*in == '\n') { ++in; return; } + ++in; } } + +template +static double parseDouble(B& in) { // only in the form X.XXXXXe-XX + bool neg= false; + double accu = 0.0; + double currentExponent = 1; + int exponent; + + skipWhitespace(in); + if(*in == EOF) return 0; + if (*in == '-') neg = true, ++in; + else if (*in == '+') ++in; + if (*in < '1' || *in > '9') printf("PARSE ERROR! Unexpected char: %c\n", *in), exit(3); + accu = (double)(*in - '0'); + ++in; + if (*in != '.') printf("PARSE ERROR! Unexpected char: %c\n", *in),exit(3); + ++in; // skip dot + currentExponent = 0.1; + while (*in >= '0' && *in <= '9') + accu = accu + currentExponent * ((double)(*in - '0')), + currentExponent /= 10, + ++in; + if (*in != 'e') printf("PARSE ERROR! Unexpected char: %c\n", *in),exit(3); + ++in; // skip dot + exponent = parseInt(in); // read exponent + accu *= pow(10,exponent); + return neg ? -accu:accu; +} + +template +static double parseDoubleWeight(B& in) { // 0.xxxx or 1.xxxxx + double accu = 0.0; + double currentExponent = 1; + int exponent; + int length = 0; + + skipWhitespace(in); + + if (!(*in == '0' || *in == '1')) printf("PARSE ERROR! Unexpected char: %c\n", *in), exit(3); + accu = (double)(*in - '0'); + ++in, ++length; + if (*in != '.') { + if(*in >= '0' && *in <= '9') printf("PARSE ERROR! Unexpected char: %c\n", *in), exit(3); + return accu; + } + ++in; // skip dot + currentExponent = 0.1; + while (length <= 9 && *in >= '0' && *in <= '9') + accu = accu + currentExponent * ((double)(*in - '0')), + currentExponent /= 10, + ++in, ++length; + // if (length > 9 && *in >= '0' && *in <= '9') printf("PARSE ERROR! Unexpected char: %c\n", *in),exit(3); + while(*in >= '0' && *in <= '9') ++in; + ++in; // skip dot + + return accu; +} + +template +static int parseInt(B& in) { + int val = 0; + bool neg = false; + skipWhitespace(in); + if (*in == '-') neg = true, ++in; + else if (*in == '+') ++in; + if (*in < '0' || *in > '9') fprintf(stderr, "PARSE ERROR! Unexpected char: %c\n", *in), exit(3); + while (*in >= '0' && *in <= '9') + val = val*10 + (*in - '0'), + ++in; + return neg ? -val : val; } + + +// String matching: in case of a match the input iterator will be advanced the corresponding +// number of characters. +template +static bool match(B& in, const char* str) { + int i; + for (i = 0; str[i] != '\0'; i++) + if (in[i] != str[i]) + return false; + + in += i; + + return true; +} + +// String matching: consumes characters eagerly, but does not require random access iterator. +template +static bool eagerMatch(B& in, const char* str) { + for (; *str != '\0'; ++str, ++in) + if (*str != *in) + return false; + return true; } + + +//================================================================================================= +} + +#endif diff --git a/3rdParty/GPMC/utils/System.cc b/3rdParty/GPMC/utils/System.cc new file mode 100644 index 00000000..9f02a988 --- /dev/null +++ b/3rdParty/GPMC/utils/System.cc @@ -0,0 +1,97 @@ +/***************************************************************************************[System.cc] +Copyright (c) 2003-2006, Niklas Een, Niklas Sorensson +Copyright (c) 2007-2010, Niklas Sorensson + +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. +**************************************************************************************************/ + +#include "utils/System.h" + +#if defined(__linux__) + +#include +#include + +using namespace Glucose1; + +// TODO: split the memory reading functions into two: one for reading high-watermark of RSS, and +// one for reading the current virtual memory size. + +static inline int memReadStat(int field) +{ + char name[256]; + pid_t pid = getpid(); + int value; + + sprintf(name, "/proc/%d/statm", pid); + FILE* in = fopen(name, "rb"); + if (in == NULL) return 0; + + for (; field >= 0; field--) + if (fscanf(in, "%d", &value) != 1) + printf("ERROR! Failed to parse memory statistics from \"/proc\".\n"), exit(1); + fclose(in); + return value; +} + + +static inline int memReadPeak(void) +{ + char name[256]; + pid_t pid = getpid(); + + sprintf(name, "/proc/%d/status", pid); + FILE* in = fopen(name, "rb"); + if (in == NULL) return 0; + + // Find the correct line, beginning with "VmPeak:": + int peak_kb = 0; + while (!feof(in) && fscanf(in, "VmPeak: %d kB", &peak_kb) != 1) + while (!feof(in) && fgetc(in) != '\n') + ; + fclose(in); + + return peak_kb; +} + +double Glucose1::memUsed() { return (double)memReadStat(0) * (double)getpagesize() / (1024*1024); } +double Glucose1::memUsedPeak() { + double peak = memReadPeak() / 1024; + return peak == 0 ? memUsed() : peak; } + +#elif defined(__FreeBSD__) + +double Glucose1::memUsed(void) { + struct rusage ru; + getrusage(RUSAGE_SELF, &ru); + return (double)ru.ru_maxrss / 1024; } +double Glucose1::memUsedPeak(void) { return memUsed(); } + + +#elif defined(__APPLE__) +#include + +double Glucose1::memUsed(void) { + malloc_statistics_t t; + malloc_zone_statistics(NULL, &t); + return (double)t.max_size_in_use / (1024*1024); } +double Glucose1::memUsedPeak(void) { return memUsed(); } + +#else +double Glucose1::memUsed() { + return 0; } +double Glucose1::memUsedPeak(void) { return memUsed(); } +#endif diff --git a/3rdParty/GPMC/utils/System.h b/3rdParty/GPMC/utils/System.h new file mode 100644 index 00000000..eb902171 --- /dev/null +++ b/3rdParty/GPMC/utils/System.h @@ -0,0 +1,67 @@ +/****************************************************************************************[System.h] +Copyright (c) 2003-2006, Niklas Een, Niklas Sorensson +Copyright (c) 2007-2010, Niklas Sorensson + +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 Glucose1_System_h +#define Glucose1_System_h + +#include "mtl/IntTypes.h" + +//------------------------------------------------------------------------------------------------- + +namespace Glucose1 { + +static inline double cpuTime(void); // CPU-time in seconds. +static inline double realTime(void); // Real time in secionds. added by nabesima +extern double memUsed(); // Memory in mega bytes (returns 0 for unsupported architectures). +extern double memUsedPeak(); // Peak-memory in mega bytes (returns 0 for unsupported architectures). + +} + +//------------------------------------------------------------------------------------------------- +// Implementation of inline functions: + +#if defined(_MSC_VER) || defined(__MINGW32__) +#include + +static inline double Glucose1::cpuTime(void) { return (double)clock() / CLOCKS_PER_SEC; } + +#else +#include +#include +#include + +// -- import from Glueminisat by k-hasimt +// modified by nabesima +//static inline double GlueMiniSat::cpuTime(void) { +inline double Glucose1::cpuTime(void) { + struct rusage ru; + getrusage(RUSAGE_SELF, &ru); + return (double)ru.ru_utime.tv_sec + (double)ru.ru_utime.tv_usec / 1000000; } + +#endif + +// added by nabesima +//static inline double GlueMiniSat::realTime(void) { +inline double Glucose1::realTime(void) { + struct timeval time; + gettimeofday(&time, NULL); + return time.tv_sec + time.tv_usec / 1000000.0; } + +#endif diff --git a/flake.nix b/flake.nix index 8e2f9630..917c2420 100644 --- a/flake.nix +++ b/flake.nix @@ -93,6 +93,10 @@ sbva = self.packages.${system}.sbva; }; + gpmc = pkgs.pkgsStatic.callPackage ./nix/gpmc.nix { + arjun = self.packages.${system}.arjun; + }; + tbb = tbb pkgs; tbb-windows = tbb pkgs-windows; diff --git a/nix/gpmc.nix b/nix/gpmc.nix new file mode 100644 index 00000000..a57d3071 --- /dev/null +++ b/nix/gpmc.nix @@ -0,0 +1,34 @@ +{ + lib, + stdenv, + cmake, + gmp, + arjun +}: +stdenv.mkDerivation { + pname = "gmpc"; + version = "1.0.1"; + + outputs = [ + "out" + "dev" + ]; + + src = ./..; + + nativeBuildInputs = [ cmake ]; + + preConfigure = "cd 3rdParty/GPMC"; + + buildInputs = [ + gmp.dev + arjun.dev + ]; + + meta = { + description = "Exact model counter for CNF formulas"; + homepage = "https://git.trs.css.i.nagoya-u.ac.jp/k-hasimt/GPMC"; + license = lib.licenses.mit; + platforms = lib.platforms.unix ++ lib.platforms.windows; + }; +}