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whitemech/LydiaSyft

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LydiaSyft is an open-source software framework for reasoning and synthesis of Linear Tempora Logic formulas interpreted on finite traces (LTLf), integrating efficient data structures and techniques focused on LTLf specifications.

This project can be used either as a standalone CLI tool or as a C++ library that integrates with other projects. Among the implemented Data Structures and algorithms, we have:

Currently, the system has been tested on Ubuntu 24.04 LTS, and should work on other Linux systems. We plan to fully support also MacOS and Windows systems.

Dependencies

The software depends on the following projects:

Compilation Instructions using CMake

System-wide dependencies

The instructions have been tested over a machine with Ubuntu 24.04 as operating system.

First, install the following system-wide dependencies:

sudo apt install -y \   automake         \   build-essential  \   cmake            \   curl             \   libtool          \   wget             \   unzip

Install Flex, Bison

Install flex and bison:

sudo apt-get install flex bison

Install Graphviz

For the graphical features (automata and strategy visualization), graphviz need to be installed:

sudo apt install graphviz libgraphviz-dev

Install Syfco

Building Syfco requires the Glasgow Haskell Compiler. To install the tool you can usestack:

curl -sSL https://get.haskellstack.org/ | shgit clone https://github.com/reactive-systems/syfco.gitcd syfcogit checkout 50585e0stack install

The installation should install thesyfco binary in a directory in teh system path.Then, make sure the binarysyfco can be found on your system path:which syfco.

When using the CLI, you can also provide the path to thesyfco binary manually by setting--syfco-path.

Install Slugs (Optional)

Slugs is required for solving LTLf synthesis with GR(1) conditions.

To build Slugs, run:

cd submodules/slugsgit checkout a188d83cd srcmake -j$(nproc --ignore 1)

Install CUDD

Make sure CUDD is installed. CUDD can be found at:

https://github.com/KavrakiLab/cudd.git

Install CUDD:

autoreconf -f -i./configure --enable-silent-rules --enable-obj --enable-dddmp --prefix=/usr/localsudo make install

Install Mona

To install MONA system-wide:

git clone --recursive https://github.com/whitemech/MONA.gitcd MONAgit checkout v1.4-19.dev0./configure && make -j && sudo make -j install# copy headers manuallysudo mkdir -p /usr/local/include/monasudo cp Mem/mem.h Mem/gnuc.h Mem/dlmalloc.h BDD/bdd_external.h BDD/bdd_dump.h BDD/bdd_internal.h BDD/bdd.h BDD/hash.h DFA/dfa.h GTA/gta.h config.h /usr/local/include/mona

Install Lydia

The tool requires the installation of Lydia, which will be triggered by the CMake configuration.

However, if you want to install Lydia manually, you can co intosubmodules/lydia and follow the installationinstructions in theREADME.md.

Install Z3

By default, the CMake configuration will fetch z3 automatically from the GitHub repository.There might be required other dependencies.

In order to disable this behaviour, you can configure the project by setting-DZ3_FETCH=OFF.In that case, you have to have the library installed on your system.To link the static library of z3, you have to install z3 manually:

wget https://github.com/Z3Prover/z3/releases/download/z3-4.8.12/z3-4.8.12-x64-glibc-2.31.zipunzip z3-4.8.12-x64-glibc-2.31.zipcd z3-4.8.12-x64-glibc-2.31sudo cp bin/libz3.a /usr/local/libsudo cp include/*.h /usr/local/include

Build LydiaSyft

  1. Make build folder so your directory is not flooded with build files:
mkdir build && cd build
  1. Run CMake to generate the makefile:
cmake -DCMAKE_BUILD_TYPE=Release ..
  1. Compile using the generated makefile:
make -j$(nproc --ignore=1) LydiaSyft

4.1. For solving LTLf synthesis with GR(1) conditions, please installslugs following submodules/slugs/README.md

  1. Compile and Run tests:
make -j$(nproc --ignore=1) tests./bin/tests

Run LydiaSyft as CLI tool

Usage:

LydiaSyft: A compositional synthesizer for Linear Temporal Logic on finite traces (LTLf)Usage: LydiaSyft [OPTIONS] SUBCOMMANDOptions:  -h,--help                   Print this help message and exit  --help-all                  Expand all help  -p,--print-strategy         Print out the synthesized strategy (default: false)  -t,--print-times            Print out running times of each step (default: false)Subcommands:  synthesis                   solve a classical LTLf synthesis problem  maxset                      solve LTLf synthesis with maximally permissive strategies  fairness                    solve LTLf synthesis with fairness assumptions  stability                   solve LTLf synthesis with stability assumptions  gr1                         Solve LTLf synthesis with GR(1) conditions

To see the options of each subcommand, run:

LydiaSyft [SUBCOMMAND] --help

Examples (run commands from the root directory of the project):

  • Classical synthesis:
./build/bin/LydiaSyft synthesis -f examples/test.tlsf   # UNREALIZABLE./build/bin/LydiaSyft synthesis -f examples/test1.tlsf  # REALIZABLE
  • Maxset synthesis:
./build/bin/LydiaSyft maxset -f examples/test1.tlsf  # REALIZABLE
  • Fairness synthesis:
./build/bin/LydiaSyft fairness -f examples/fair_stable_test.tlsf -a examples/fair_stable_test_assumption.txt  # REALIZABLE
  • Stability synthesis:
./build/bin/LydiaSyft stability -f examples/fair_stable_counter_test.tlsf -a examples/fair_stable_test_assumption.txt  # REALIZABLE
  • GR(1) synthesis:
./build/bin/LydiaSyft gr1 \    -f examples/TLSF/GR1benchmarks/finding_nemo/finding_nemo_1.tlsf \    -g examples/TLSF/GR1benchmarks/finding_nemo/finding_nemo_1_env_gr1.txt \    -e examples/TLSF/GR1benchmarks/finding_nemo/finding_nemo_1_env_safety.ltlf \    -a examples/TLSF/GR1benchmarks/finding_nemo/finding_nemo_1_agn_safety.ltlf \    --slugs-path ./submodules/slugs/   # REALIZABLE

Use LydiaSyft as a library

The software also provides C++ APIs. Here there is an example of usage:

#include<memory>#include<sstream>#include<string>#include<vector>#include<lydia/parser/ltlf/driver.hpp>#include"automata/ExplicitStateDfa.h"#include"automata/ExplicitStateDfaAdd.h"#include"automata/SymbolicStateDfa.h"#include"game/InputOutputPartition.h"#include"Player.h"#include"VarMgr.h"#include"synthesizer/LTLfSynthesizer.h"intmain(int argc,char ** argv) {// define the formula and the input/output variables    std::string formula_str ="F(a | b)";    std::vector<std::string> input_vars{"a"};    std::vector<std::string> output_vars{"b"};// parse the formulaauto driver = std::make_shared<whitemech::lydia::parsers::ltlf::LTLfDriver>();    std::stringstreamformula_stream(formula_str);    driver->parse(formula_stream);    whitemech::lydia::ltlf_ptr formula = driver->get_result();// initialize the variables    Syft::InputOutputPartition partition =Syft::InputOutputPartition::construct_from_input(input_vars, output_vars);    std::shared_ptr<Syft::VarMgr> var_mgr = std::make_shared<Syft::VarMgr>();    var_mgr->create_named_variables(partition.input_variables);    var_mgr->create_named_variables(partition.output_variables);// build the explicit-state DFA    Syft::ExplicitStateDfa explicit_dfa =Syft::ExplicitStateDfa::dfa_of_formula(*formula);    Syft::ExplicitStateDfaAdd explicit_dfa_add =Syft::ExplicitStateDfaAdd::from_dfa_mona(var_mgr, explicit_dfa);// build the symbolic-state DFA from the explicit-state DFA    Syft::SymbolicStateDfa symbolic_dfa =Syft::SymbolicStateDfa::from_explicit(std::move(explicit_dfa_add));// do synthesis    var_mgr->partition_variables(partition.input_variables, partition.output_variables);    Syft::Player starting_player = Syft::Player::Agent;    Syft::Player protagonist_player = Syft::Player::Agent;    Syft::LTLfSynthesizersynthesizer(symbolic_dfa, starting_player,                                        protagonist_player, symbolic_dfa.final_states(),                                        var_mgr->cudd_mgr()->bddOne());    Syft::SynthesisResult result = synthesizer.run();    std::cout << (result.realizability?"" :"NOT") <<"REALIZABLE" << std::endl;return0;}

More code examples can be found in theexamples/ folder.To build them, runmake examples.

Documentation

The documentation is built using Doxygen. First, installdoxygen:

sudo apt install doxygen

Then:

doxygen Doxyfile

License

This project is licensed under the GNU Affero General Public License. See theLICENSE file for details.

Copyright (C) 2024, Marco Favorito, Shufang Zhu. All rights reserved.


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