b729aa3f30
Some columns were superfluous, other had inconsistent names, and some times where not tracked. * spot/twaalgos/synthesis.cc: Improve tracking of times and verbose messages. * bin/ltlsynt.cc (print_csv): Adjust CSV columns. * tests/core/ltlsynt.test, tests/core/ltlsynt2.test, tests/core/ltlsynt-pgame.test: Adjust expected CSV and verbose messages. * doc/org/ltlsynt.org: Give some example.
105 lines
2.7 KiB
Bash
Executable file
105 lines
2.7 KiB
Bash
Executable file
#! /bin/sh
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# -*- coding: utf-8 -*-
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# Copyright (C) by the Spot authors, see the AUTHORS file for details.
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#
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# This file is part of Spot, a model checking library.
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#
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# Spot is free software; you can redistribute it and/or modify it
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# under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 3 of the License, or
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# (at your option) any later version.
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#
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# Spot is distributed in the hope that it will be useful, but WITHOUT
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# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
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# or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
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# License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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# More checks for ltlfilt
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. ./defs || exit 1
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set -e
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cat >formulas.ltl <<EOF
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G(i1 <-> Xo1)
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F(i1 xor i2) <-> F(o1)
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i1 <-> F(o1 xor o2)
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F(i1) <-> G(o2)
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EOF
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ltlsynt --ins=i1,i2 -F formulas.ltl -f 'o1 & F(i1 <-> o2)' -q --csv=out.csv &&\
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exit 2
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test $? -eq 1 || exit 2
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test -z "$PYTHON" && exit 77
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cat >test.py <<EOF
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import sys
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try:
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import pandas
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import numpy as np
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except ImportError:
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sys.exit(77)
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x = pandas.read_csv("out.csv")
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x.to_csv('filtered.csv',
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columns=('source', 'formula', 'algo',
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'realizable', 'strat_states'),
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index=False)
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EOF
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# will exit 77 if panda is not installed
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$PYTHON test.py
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cat >expected <<EOF
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source,formula,algo,realizable,strat_states
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formulas.ltl:1,G(i1 <-> Xo1),lar,1,3
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formulas.ltl:2,F(i1 xor i2) <-> Fo1,lar,1,2
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formulas.ltl:3,i1 <-> F(o1 xor o2),lar,1,3
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formulas.ltl:4,Fi1 <-> Go2,lar,0,0
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,o1 & F(i1 <-> o2),lar,1,2
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EOF
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diff filtered.csv expected
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# ltlfilt should be able to read the second column
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mv filtered.csv input.csv
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ltlsynt --ins=i1,i2 -F input.csv/-2 --csv=out.csv -q && exit 2
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test $? -eq 1
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$PYTHON test.py
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cat >expected <<EOF
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source,formula,algo,realizable,strat_states
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input.csv:2,G(i1 <-> Xo1),lar,1,3
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input.csv:3,F(i1 xor i2) <-> Fo1,lar,1,2
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input.csv:4,i1 <-> F(o1 xor o2),lar,1,3
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input.csv:5,Fi1 <-> Go2,lar,0,0
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input.csv:6,o1 & F(i1 <-> o2),lar,1,2
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EOF
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diff filtered.csv expected
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grep -v 0,0 filtered.csv >input.csv
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ltlsynt -F input.csv/-2 --csv=out.csv -q
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$PYTHON test.py
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cat >expected <<EOF
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source,formula,algo,realizable,strat_states
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input.csv:2,G(i1 <-> Xo1),lar,1,3
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input.csv:3,F(i1 xor i2) <-> Fo1,lar,1,2
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input.csv:4,i1 <-> F(o1 xor o2),lar,1,3
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input.csv:5,o1 & F(i1 <-> o2),lar,1,2
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EOF
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diff filtered.csv expected
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ltlsynt -F input.csv/-2 --csv-without-formula=out.csv -q
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cut out.csv -d, -f1,2 >filtered.csv
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cat >expected <<EOF
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"source","algo"
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"input.csv:2","lar"
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"input.csv:3","lar"
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"input.csv:4","lar"
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"input.csv:5","lar"
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EOF
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diff filtered.csv expected
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